| [CatoniGibbs] | O. Catoni. Gibbs estimators. Revised version. [ bib | .dvi | .ps ] |
| [Bernstein1977Protein] | F. C. Bernstein, T. F. Koetzle, G. J. Williams, E. F. Meyer, M. D. Brice, J. R. Rodgers, O. Kennard, T. Shimanouchi, and M. Tasumi. The protein data bank: a computer-based archival file for macromolecular structures. J. Mol. Biol., 112(3):535-542, May 1977. [ bib ] |
| [Talagrand1995Concentration] | M. Talagrand. Concentration of measure and isoperimetric inequalities in product spaces. Publ. Math. I.H.E.S., 81:73-203, 1995. [ bib | .dvi | .pdf ] |
| [Talagrand1996Newa] | M. Talagrand. A New Look at Independence. Ann. Probab., 24:1-34, 1996. [ bib | .dvi | .pdf ] |
| [Talagrand1996New] | M. Talagrand. New concentration inequalities for product spaces. Inventionnes Math., 126:505-563, 1996. [ bib | .dvi | .pdf ] |
| [Talagrand1996Majorizing] | M. Talagrand. Majorizing measures: The generic chaining. Ann. Probab., 24:1049-1103, 1996. [ bib | .dvi | .pdf ] |
| [Lauritzen1996Graphical] | S. Lauritzen. Graphical Models. Oxford, 1996. [ bib ] |
| [Zhu1997Minimax] | S. C. Zhu, Z. N. Wu, and D. Mumford. Minimax Entropy Principle and Its Application to Texture Modeling. Neural Comput., 9(8):1627-1660, 1997. [ bib | .ps.gz | .pdf ] |
| [Zhu1998FRAME:] | S. C. Zhu, Y. Wu, and D. Mumford. FRAME: Filters, Random field And Maximum Entropy: - Towards a Unified Theory for Texture Modeling. Int'l Journal of Computer Vision, 27(2):1-20, 1998. [ bib | .ps.gz | .pdf ] |
| [Schneider1998Artificial] | G. Schneider and P. Wrede. Artificial neural networks for computer-based molecular design. Prog Biophys Mol Biol, 70(3):175-222, 1998. [ bib | Abstract ] |
| [Poggio1998Sparse] | Poggio and Girosi. A Sparse Representation for Function Approximation. Neural Comput, 10(6):1445-54, Jul 1998. [ bib | Abstract ] |
| [Lugosi1998On] | G. Lugosi. On concentration-of-measure inequalities. Seminar notes, 1998. [ bib | .ps | .pdf ] |
| [Girosi1998Equivalence] | Girosi. An Equivalence Between Sparse Approximation and Support Vector Machines. Neural Comput, 10(6):1455-80, Jul 1998. [ bib | Abstract ] |
| [Pontil1998Properties] | M. Pontil and A. Verri. Properties of support vector machines. Neural Comput, 10(4):955-74, May 1998. [ bib | Abstract ] |
| [Mathews1999Expandeda] | D. H. Mathews, J. Sabina, M. Zuker, and D. H. Turner. Expanded sequence dependence of thermodynamic parameters improves prediction of RNA secondary structure. J. Mol. Biol., 288(5):911-940, May 1999. [ bib | DOI | http | Abstract ] |
| [Lugosi1999Adaptive] | G. Lugosi and A. Nobel. Adaptive Model Selection Using Empirical Complexities. Ann. Stat., 27(6):1830-1864, December 1999. [ bib | .ps | .pdf ] |
| [Wilbur2000Boosting] | W. J. Wilbur. Boosting naive Bayesian learning on a large subset of MEDLINE. Proc AMIA Symp, pages 918-22, 2000. [ bib | Abstract ] |
| [Risau-Gusman2000Generalization] | Risau-Gusman and Gordon. Generalization properties of finite-size polynomial support vector machines. Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics, 62(5 Pt B):7092-9, Nov 2000. [ bib | Abstract ] |
| [Opper2000Gaussian] | M. Opper and O. Winther. Gaussian processes for classification: mean-field algorithms. Neural Comput, 12(11):2655-84, Nov 2000. [ bib | Abstract ] |
| [Boucheron2000sharp] | S. Boucheron, G. Lugosi, and P. Massart. A sharp concentration inequality with applications. Random Structures and Algorithms, 16:277-292, 2000. [ bib | .ps | .pdf ] |
| [Juditsky2000Functional] | A. Juditsky and A. Nemirovski. Functional Aggregation for Nonparametric Estimation. Ann. Stat., 28(3):681-712, June 2000. [ bib | .ps.gz | .pdf ] |
| [Vercoutere2001Rapid] | W. Vercoutere, S. Winters-Hilt, H. Olsen, D. Deamer, D. Haussler, and M. Akeson. Rapid discrimination among individual DNA hairpin molecules at single-nucleotide resolution using an ion channel. Nat Biotechnol, 19(3):248-52, Mar 2001. [ bib | DOI | http | .pdf | Abstract ] |
| [Suykens2001Optimal] | J. A. Suykens, J. Vandewalle, and B. De Moor. Optimal control by least squares support vector machines. Neural Netw, 14(1):23-35, Jan 2001. [ bib | Abstract ] |
| [Sherry2001dbSNP] | S. T. Sherry, M. H. Ward, M. Kholodov, J. Baker, L. Phan, E. M. Smigielski, and K. Sirotkin. dbsnp: the ncbi database of genetic variation. Nucleic Acids Res, 29(1):308-311, Jan 2001. [ bib | Abstract ] |
| [Miwakeichi2001comparison] | F. Miwakeichi, R. Ramirez-Padron, P. A. Valdes-Sosa, and T. Ozaki. A comparison of non-linear non-parametric models for epilepsy data. Comput. Biol. Med., 31(1):41-57, Jan 2001. [ bib | Abstract ] |
| [Amari2001Information] | S.-I. Amari. Information geometry on hierarchy of probability distributions. IEEE Trans. Inform. Theory, 47(5):1701-1711, July 2001. [ bib | .ps.gz | .pdf ] |
| [Weber2002Building] | Griffin Weber, Staal Vinterbo, and Lucila Ohno-Machado. Building an asynchronous web-based tool for machine learning classification. Proc AMIA Symp, pages 869-73, 2002. [ bib | Abstract ] |
| [Wahba2002Soft] | Grace Wahba. Soft and hard classification by reproducing kernel Hilbert space methods. Proc Natl Acad Sci U S A, 99(26):16524-30, Dec 2002. [ bib | DOI | http | .pdf | Abstract ] |
| [Sturn2002Genesis:] | Alexander Sturn, John Quackenbush, and Zlatko Trajanoski. Genesis: cluster analysis of microarray data. Bioinformatics, 18(1):207-8, Jan 2002. [ bib | Abstract ] |
| [Song2002Prediction] | Minghu Song, Curt M Breneman, Jinbo Bi, N. Sukumar, Kristin P Bennett, Steven Cramer, and Nihal Tugcu. Prediction of protein retention times in anion-exchange chromatography systems using support vector regression. J Chem Inf Comput Sci, 42(6):1347-57, 2002. [ bib | Abstract ] |
| [Quackenbush2002Microarray] | John Quackenbush. Microarray data normalization and transformation. Nat Genet, 32 Suppl:496-501, Dec 2002. [ bib | DOI | http ] |
| [Mateos2002Systematic] | Alvaro Mateos, JoaquÃn Dopazo, Ronald Jansen, Yuhai Tu, Mark Gerstein, and Gustavo Stolovitzky. Systematic learning of gene functional classes from DNA array expression data by using multilayer perceptrons. Genome Res., 12(11):1703-15, Nov 2002. [ bib | DOI | http | .pdf | Abstract ] |
| [Martoglio2002decomposition] | Ann-Marie Martoglio, James W Miskin, Stephen K Smith, and David J C MacKay. A decomposition model to track gene expression signatures: preview on observer-independent classification of ovarian cancer. Bioinformatics, 18(12):1617-24, Dec 2002. [ bib | Abstract ] |
| [Marsland2002self-organising] | Stephen Marsland, Jonathan Shapiro, and Ulrich Nehmzow. A self-organising network that grows when required. Neural Netw, 15(8-9):1041-58, 2002. [ bib | Abstract ] |
| [Churchill2002Fundamentals] | G. A. Churchill. Fundamentals of experimental design for cdna microarrays. Nat. Genet., 32 Suppl:490-495, Dec 2002. [ bib | DOI | http | Abstract ] |
| [Chan2002Comparison] | Kwokleung Chan, Te-Won Lee, Pamela A Sample, Michael H Goldbaum, Robert N Weinreb, and Terrence J Sejnowski. Comparison of machine learning and traditional classifiers in glaucoma diagnosis. IEEE Trans Biomed Eng, 49(9):963-74, Sep 2002. [ bib | DOI | http | .pdf | Abstract ] |
| [Catoni2002Data] | O. Catoni. Data Compression and Adaptive Histograms. In Felipe Cucker and J. Maurice Rojas, editors, Foundations of Computational Mathematics, Proceedings of Smalefest 2000. World Scientific, 2002. [ bib | http | .pdf ] |
| [Bowd2002Comparing] | Christopher Bowd, Kwokleung Chan, Linda M Zangwill, Michael H Goldbaum, Te-Won Lee, Terrence J Sejnowski, and Robert N Weinreb. Comparing neural networks and linear discriminant functions for glaucoma detection using confocal scanning laser ophthalmoscopy of the optic disc. Invest Ophthalmol Vis Sci, 43(11):3444-54, Nov 2002. [ bib | http | .pdf | Abstract ] |
| [Zhu2003Introduction] | Lingyun Zhu, Baoming Wu, and Changxiu Cao. Introduction to medical data mining. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi, 20(3):559-62, Sep 2003. [ bib | Abstract ] |
| [Mayr2003Cross-reactive] | Torsten Mayr, Christian Igel, Gregor Liebsch, Ingo Klimant, and Otto S Wolfbeis. Cross-reactive metal ion sensor array in a micro titer plate format. Anal Chem, 75(17):4389-96, Sep 2003. [ bib | Abstract ] |
| [Li2003Simple] | Jinyan Li, Huiqing Liu, James R Downing, Allen Eng-Juh Yeoh, and Limsoon Wong. Simple rules underlying gene expression profiles of more than six subtypes of acute lymphoblastic leukemia (ALL) patients. Bioinformatics, 19(1):71-8, Jan 2003. [ bib | Abstract ] |
| [Ifantis2003nonlinear] | A. Ifantis and S. Papadimitriou. The nonlinear predictability of the electrotelluric field variations data analyzed with support vector machines as an earthquake precursor. Int J Neural Syst, 13(5):315-32, Oct 2003. [ bib | Abstract ] |
| [Ge2003Reducing] | Xijin Ge, Shuichi Tsutsumi, Hiroyuki Aburatani, and Shuichi Iwata. Reducing false positives in molecular pattern recognition. Genome Inform Ser Workshop Genome Inform, 14:34-43, 2003. [ bib | Abstract ] |
| [Garrett2003Comparison] | D. Garrett, D. A Peterson, C. Anderson, and M. Thaut. Comparison of linear, nonlinear, and feature selection methods for EEG signal classification. IEEE Trans Neural Syst Rehabil Eng, 11(2):141-4, Jun 2003. [ bib | Abstract ] |
| [DiMasi2003price] | J. A. DiMasi, R. W. Hansen, and H. G. Grabowski. The price of innovation: new estimates of drug development costs. J Health Econ, 22(2):151-185, Mar 2003. [ bib | Abstract ] |
| [Diekman2003Hybrid] | Casey Diekman, Wei He, Nagabhushana Prabhu, and Harvey Cramer. Hybrid methods for automated diagnosis of breast tumors. Anal Quant Cytol Histol, 25(4):183-90, Aug 2003. [ bib | Abstract ] |
| [Chan2003Detection] | Ian Chan, William Wells, Robert V Mulkern, Steven Haker, Jianqing Zhang, Kelly H Zou, Stephan E Maier, and Clare M C Tempany. Detection of prostate cancer by integration of line-scan diffusion, T2-mapping and T2-weighted magnetic resonance imaging; a multichannel statistical classifier. Med Phys, 30(9):2390-8, Sep 2003. [ bib | .pdf | Abstract ] |
| [Bagirov2003New] | A. M. Bagirov, B. Ferguson, S. Ivkovic, G. Saunders, and J. Yearwood. New algorithms for multi-class cancer diagnosis using tumor gene expression signatures. Bioinformatics, 19(14):1800-7, Sep 2003. [ bib | http | .pdf | Abstract ] |
| [Yu2004Advances] | J. Yu, V.A. Smith, P.P. Wang, A.J. Hartemink, and E.D. Jarvis. Advances to bayesian network inference for generating causal networks from observational biological data. Bioinformatics, 20(18):3594-3603, Dec 2004. [ bib | DOI | http | Abstract ] |
| [Tzeng2004Predicting] | Huey-Ming Tzeng, Jer-Guang Hsieh, and Yih-Lon Lin. Predicting nurses' intention to quit with a support vector machine: a new approach to set up an early warning mechanism in human resource management. Comput Inform Nurs, 22(4):232-42, 2004. [ bib | Abstract ] |
| [Song2004Comparison] | Xiaowei Song, Arnold Mitnitski, Jafna Cox, and Kenneth Rockwood. Comparison of machine learning techniques with classical statistical models in predicting health outcomes. Medinfo, 11(Pt 1):736-40, 2004. [ bib | Abstract ] |
| [Seeger2004Gaussian] | Matthias Seeger. Gaussian processes for machine learning. Int J Neural Syst, 14(2):69-106, Apr 2004. [ bib | Abstract ] |
| [Qin2004[Automated] | Dong mei Qin, Zhan yi Hu, and Yong heng Zhao. Automated classification of celestial spectra based on support vector machines. Guang Pu Xue Yu Guang Pu Fen Xi, 24(4):507-11, Apr 2004. [ bib | Abstract ] |
| [Pavlidis2004Support] | Paul Pavlidis, Ilan Wapinski, and William Stafford Noble. Support vector machine classification on the web. Bioinformatics, 20(4):586-7, Mar 2004. [ bib | DOI | http | .pdf | Abstract ] |
| [Madeira2004Biclustering] | S. C. Madeira and A. L. Oliveira. Biclustering algorithms for biological data analysis: a survey. IEEE/ACM Trans Comput Biol Bioinform, 1(1):24-45, 2004. [ bib | DOI | http | Abstract ] |
| [Li2004Fusing] | Shutao Li, James Tin-Yau Kwok, Ivor Wai-Hung Tsang, and Yaonan Wang. Fusing images with different focuses using support vector machines. IEEE Trans Neural Netw, 15(6):1555-61, Nov 2004. [ bib | Abstract ] |
| [Glotsos2004Automated] | Dimitris Glotsos, Panagiota Spyridonos, Dionisis Cavouras, Panagiota Ravazoula, Petroula-Arampantoni Dadioti, and George Nikiforidis. Automated segmentation of routinely hematoxylin-eosin-stained microscopic images by combining support vector machine clustering and active contour models. Anal Quant Cytol Histol, 26(6):331-40, Dec 2004. [ bib | Abstract ] |
| [Faugeras2004Variational] | Olivier Faugeras, Geoffray Adde, Guillaume Charpiat, Christophe Chefd'hotel, Maureen Clerc, Thomas Deneux, Rachid Deriche, Gerardo Hermosillo, Renaud Keriven, Pierre Kornprobst, Jan Kybic, Christophe Lenglet, Lucero Lopez-Perez, Théo Papadopoulo, Jean-Philippe Pons, Florent Segonne, Bertrand Thirion, David Tschumperlé, Thierry Viéville, and Nicolas Wotawa. Variational, geometric, and statistical methods for modeling brain anatomy and function. Neuroimage, 23 Suppl 1:S46-55, 2004. [ bib | DOI | http | .pdf | Abstract ] |
| [Eroes2004Comparison] | D. Erös, G. Kéri, I. Kövesdi, C. Szántai-Kis, G. Mészáros, and L. Orfi. Comparison of predictive ability of water solubility QSPR models generated by MLR, PLS and ANN methods. Mini Rev Med Chem, 4(2):167-177, Feb 2004. [ bib | Abstract ] |
| [Cohen2004application] | Gilles Cohen, Mélanie Hilario, Hugo Sax, Stéphane Hugonnet, Christian Pellegrini, and Antoine Geissbuhler. An application of one-class support vector machine to nosocomial infection detection. Medinfo, 11(Pt 1):716-20, 2004. [ bib | Abstract ] |
| [Bowd2004Confocal] | Christopher Bowd, Linda M Zangwill, Felipe A Medeiros, Jiucang Hao, Kwokleung Chan, Te-Won Lee, Terrence J Sejnowski, Michael H Goldbaum, Pamela A Sample, Jonathan G Crowston, and Robert N Weinreb. Confocal scanning laser ophthalmoscopy classifiers and stereophotograph evaluation for prediction of visual field abnormalities in glaucoma-suspect eyes. Invest Ophthalmol Vis Sci, 45(7):2255-62, Jul 2004. [ bib | DOI | http | .pdf | Abstract ] |
| [Roth2004Bayesian] | Volker Roth and Tilman Lange. Bayesian class discovery in microarray datasets. IEEE Trans Biomed Eng, 51(5):707-718, May 2004. [ bib | Abstract ] |
| [Luo2004gene-silencing] | K. Q. Luo and D. C. Chang. The gene-silencing efficiency of siRNA is strongly dependent on the local structure of mRNA at the targeted region. Biochem. Biophys. Res. Commun., 318(1):303-10, May 2004. [ bib | DOI | http | Abstract ] |
| [Shen2005[Detection] | Li Shen, Jie Yang, and Yue Zhou. Detection of PVCs with support vector machine. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi, 22(1):78-81, Feb 2005. [ bib | Abstract ] |
| [Sheinerman2005High] | Felix B Sheinerman, Elie Giraud, and Abdelazize Laoui. High affinity targets of protein kinase inhibitors have similar residues at the positions energetically important for binding. J. Mol. Biol., 352(5):1134-1156, Oct 2005. [ bib | DOI | http | Abstract ] |
| [Sassi2005automated] | Alexander P Sassi, Frank Andel, Hans-Marcus L Bitter, Michael P S Brown, Robert G Chapman, Jeraldine Espiritu, Alfred C Greenquist, Isabelle Guyon, Mariana Horchi-Alegre, Kathy L Stults, Ann Wainright, Jonathan C Heller, and John T Stults. An automated, sheathless capillary electrophoresis-mass spectrometry platform for discovery of biomarkers in human serum. Electrophoresis, 26(7-8):1500-12, Apr 2005. [ bib | DOI | http | .pdf | Abstract ] |
| [Rice2005Reconstructing] | J.J. Rice, Y. Tu, and G. Stolovitzky. Reconstructing biological networks using conditional correlation analysis. Bioinformatics, 21(6):765-773, Mar 2005. [ bib | DOI | http | Abstract ] |
| [Perez-Cruz2005Convergence] | Fernando Pérez-Cruz, Carlos Bousoño-Calzón, and Antonio Artés-RodrÃguez. Convergence of the IRWLS Procedure to the Support Vector Machine Solution. Neural Comput, 17(1):7-18, Jan 2005. [ bib | Abstract ] |
| [Prill2005PlosBiol] | Robert J Prill, Pablo A Iglesias, and Andre Levchenko. Dynamic properties of network motifs contribute to biological network organization. PLoS Biol, 3(11):e343, Nov 2005. [ bib | DOI | http | Abstract ] |
| [Peters2005Generating] | Bjoern Peters and Alessandro Sette. Generating quantitative models describing the sequence specificity of biological processes with the stabilized matrix method. BMC Bioinformatics, 6:132, 2005. [ bib | DOI | http | Abstract ] |
| [Pang2005Face] | Shaoning Pang, Daijin Kim, and Sung Yang Bang. Face membership authentication using SVM classification tree generated by membership-based LLE data partition. IEEE Trans Neural Netw, 16(2):436-46, Mar 2005. [ bib | Abstract ] |
| [Nabieva2005Whole-proteome] | Elena Nabieva, Kam Jim, Amit Agarwal, Bernard Chazelle, and Mona Singh. Whole-proteome prediction of protein function via graph-theoretic analysis of interaction maps. Bioinformatics, 21 Suppl 1:i302-i310, Jun 2005. [ bib | DOI | http | Abstract ] |
| [Micchelli2005On] | Charles A Micchelli and Massimiliano Pontil. On learning vector-valued functions. Neural Comput, 17(1):177-204, Jan 2005. [ bib | DOI | http | Abstract ] |
| [Larsen2005integrative] | Mette Voldby Larsen, Claus Lundegaard, Kasper Lamberth, Søren Buus, Søren Brunak, Ole Lund, and Morten Nielsen. An integrative approach to CTL epitope prediction: a combined algorithm integrating MHC class I binding, TAP transport efficiency, and proteasomal cleavage predictions. Eur. J. Immunol., 35(8):2295-2303, Aug 2005. [ bib | DOI | http | Abstract ] |
| [Golland2005Detection] | Polina Golland, W. Eric L Grimson, Martha E Shenton, and Ron Kikinis. Detection and analysis of statistical differences in anatomical shape. Med Image Anal, 9(1):69-86, Feb 2005. [ bib | DOI | http | Abstract ] |
| [Ehlers2005NBS1] | Justis P Ehlers and J. William Harbour. NBS1 expression as a prognostic marker in uveal melanoma. Clin. Cancer Res., 11(5):1849-53, Mar 2005. [ bib | DOI | http | .pdf | Abstract ] |
| [Ding2005Minimum] | Chris Ding and Hanchuan Peng. Minimum redundancy feature selection from microarray gene expression data. J Bioinform Comput Biol, 3(2):185-205, Apr 2005. [ bib | Abstract ] |
| [Bernardo2005Chemogenomica] | D. di Bernardo, M.J. Thompson, T.S. Gardner, S.E. Chobot, E.L. Eastwood, A.P. Wojtovich, S.J. Elliott, S.E. Schaus, and J.J. Collins. Chemogenomic profiling on a genome-wide scale using reverse-engineered gene networks. Nat Biotechnol, 23(3):377-383, Mar 2005. [ bib | DOI | http | Abstract ] |
| [Bagga2005Quantitative] | Harmohina Bagga, David S Greenfield, and William J Feuer. Quantitative assessment of atypical birefringence images using scanning laser polarimetry with variable corneal compensation. Am J Ophthalmol, 139(3):437-46, Mar 2005. [ bib | DOI | http | .pdf | Abstract ] |
| [Neuvial2006Spatial] | Pierre Neuvial, Philippe Hupé, Isabel Brito, Stéphane Liva, Elodie Manié, Caroline Brennetot, François Radvanyi, Alain Aurias, and Emmanuel Barillot. Spatial normalization of array-cgh data. BMC Bioinformatics, 7:264, 2006. [ bib | DOI | http | Abstract ] |
| [Kapp2006Discovery] | Amy V Kapp, Stefanie S Jeffrey, Anita Langerød, Anne-Lise Børresen-Dale, Wonshik Han, Dong-Young Noh, Ida R K Bukholm, Monica Nicolau, Patrick O Brown, and Robert Tibshirani. Discovery and validation of breast cancer subtypes. BMC Genomics, 7:231, 2006. [ bib | DOI | http | Abstract ] |
| [Consortium2006MicroArray] | M. A. Q. C. Consortium, Leming Shi, Laura H Reid, Wendell D Jones, Richard Shippy, Janet A Warrington, Shawn C Baker, Patrick J Collins, Francoise de Longueville, Ernest S Kawasaki, Kathleen Y Lee, Yuling Luo, Yongming Andrew Sun, James C Willey, Robert A Setterquist, Gavin M Fischer, Weida Tong, Yvonne P Dragan, David J Dix, Felix W Frueh, Frederico M Goodsaid, Damir Herman, Roderick V Jensen, Charles D Johnson, Edward K Lobenhofer, Raj K Puri, Uwe Schrf, Jean Thierry-Mieg, Charles Wang, Mike Wilson, Paul K Wolber, Lu Zhang, Shashi Amur, Wenjun Bao, Catalin C Barbacioru, Anne Bergstrom Lucas, Vincent Bertholet, Cecilie Boysen, Bud Bromley, Donna Brown, Alan Brunner, Roger Canales, Xiaoxi Megan Cao, Thomas A Cebula, James J Chen, Jing Cheng, Tzu-Ming Chu, Eugene Chudin, John Corson, J. Christopher Corton, Lisa J Croner, Christopher Davies, Timothy S Davison, Glenda Delenstarr, Xutao Deng, David Dorris, Aron C Eklund, Xiao hui Fan, Hong Fang, Stephanie Fulmer-Smentek, James C Fuscoe, Kathryn Gallagher, Weigong Ge, Lei Guo, Xu Guo, Janet Hager, Paul K Haje, Jing Han, Tao Han, Heather C Harbottle, Stephen C Harris, Eli Hatchwell, Craig A Hauser, Susan Hester, Huixiao Hong, Patrick Hurban, Scott A Jackson, Hanlee Ji, Charles R Knight, Winston P Kuo, J. Eugene LeClerc, Shawn Levy, Quan-Zhen Li, Chunmei Liu, Ying Liu, Michael J Lombardi, Yunqing Ma, Scott R Magnuson, Botoul Maqsodi, Tim McDaniel, Nan Mei, Ola Myklebost, Baitang Ning, Natalia Novoradovskaya, Michael S Orr, Terry W Osborn, Adam Papallo, Tucker A Patterson, Roger G Perkins, Elizabeth H Peters, Ron Peterson, Kenneth L Philips, P. Scott Pine, Lajos Pusztai, Feng Qian, Hongzu Ren, Mitch Rosen, Barry A Rosenzweig, Raymond R Samaha, Mark Schena, Gary P Schroth, Svetlana Shchegrova, Dave D Smith, Frank Staedtler, Zhenqiang Su, Hongmei Sun, Zoltan Szallasi, Zivana Tezak, Danielle Thierry-Mieg, Karol L Thompson, Irina Tikhonova, Yaron Turpaz, Beena Vallanat, Christophe Van, Stephen J Walker, Sue Jane Wang, Yonghong Wang, Russ Wolfinger, Alex Wong, Jie Wu, Chunlin Xiao, Qian Xie, Jun Xu, Wen Yang, Liang Zhang, Sheng Zhong, Yaping Zong, and William Slikker. The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements. Nat. Biotechnol., 24(9):1151-1161, Sep 2006. [ bib | DOI | http | Abstract ] |
| [Bui2006Structural] | H.-H. Bui, A. J. Schiewe, H. von Grafenstein, and I. S. Haworth. Structural prediction of peptides binding to MHC class I molecules. Proteins, 63(1):43-52, Apr 2006. [ bib | DOI | http | Abstract ] |
| [Bhavani2006Substructure-based] | S. Bhavani, A. Nagargadde, A. Thawani, V. Sridhar, and N. Chandra. Substructure-based support vector machine classifiers for prediction of adverse effects in diverse classes of drugs. J. Chem. Inform. Model., 46(6):2478-2486, 2006. [ bib | DOI | http | Abstract ] |
| [Driel2006text-mining] | M.A. van Driel, J. Bruggeman, G. Vriend, H.G. Brunner, and J.A.M. Leunissen. A text-mining analysis of the human phenome. Eur. J. Hum. Genet., 14(5):535-542, May 2006. [ bib | DOI | http | Abstract ] |
| [Yan2007Determining] | Mingjin Yan and Keying Ye. Determining the number of clusters using the weighted gap statistic. Biometrics, 63(4):1031-1037, Dec 2007. [ bib | DOI | http | Abstract ] |
| [Rhodes2007Oncomine] | Daniel R. Rhodes, Shanker Kalyana-Sundaram, Vasudeva Mahavisno, Radhika Varambally, Jianjun Yu, Benjamin B. Briggs, Terrence R. Barrette, Matthew J. Anstet, Colleen Kincead-Beal, Prakash Kulkarni, Sooryanaryana Varambally, Debashis Ghosh, and Arul M. Chinnaiyan. Oncomine 3.0: genes, pathways, and networks in a collection of 18,000 cancer gene expression profiles. Neoplasia, 9(2):166-180, Feb 2007. [ bib | Abstract ] |
| [Kahraman2007Shape] | A. Kahraman, R. J. Morris, R. A. Laskowski, and J. M. Thornton. Shape variation in protein binding pockets and their ligands. J. Mol. Biol., 368(1):283-301, Apr 2007. [ bib | DOI | http | Abstract ] |
| [Johnson2007Adjusting] | W. Evan Johnson, Cheng Li, and Ariel Rabinovic. Adjusting batch effects in microarray expression data using empirical bayes methods. Biostatistics, 8(1):118-127, Jan 2007. [ bib | DOI | http | Abstract ] |
| [Xie2009Unified] | Lei Xie, Li Xie, and Philip E Bourne. A unified statistical model to support local sequence order independent similarity searching for ligand-binding sites and its application to genome-based drug discovery. Bioinformatics, 25(12):i305-i312, Jun 2009. [ bib | DOI | http | Abstract ] |
| [Parkhomenko2009Sparse] | E. Parkhomenko, D. Tritchler, and J. Beyene. Sparse canonical correlation analysis with application to genomic data integration. Stat Appl Genet Mol Biol, 8(1):Article 1, Jan 2009. [ bib | DOI | http | Abstract ] |
| [Ioannidis2009Repeatability] | John P A Ioannidis, David B Allison, Catherine A Ball, Issa Coulibaly, Xiangqin Cui, Aedín C Culhane, Mario Falchi, Cesare Furlanello, Laurence Game, Giuseppe Jurman, Jon Mangion, Tapan Mehta, Michael Nitzberg, Grier P Page, Enrico Petretto, and Vera van Noort. Repeatability of published microarray gene expression analyses. Nat Genet, 41(2):149-155, Feb 2009. [ bib | DOI | http | Abstract ] |
| [Tayrac2009Simultaneous] | M. de Tayrac, S. Lê, M. Aubry, J. Mosser, and F. Husson. Simultaneous analysis of distinct omics data sets with integration of biological knowledge: Multiple factor analysis approach. BMC Genomics, 10:32, 2009. [ bib | DOI | http | Abstract ] |
| [Vanunu2010Associating] | O. Vanunu, O. Magger, E. Ruppin, T. Shlomi, and R. Sharan. Associating genes and protein complexes with disease via network propagation. PLoS Comput. Biol., 6(1):e1000641, Jan 2010. [ bib | DOI | http | Abstract ] |
| [Markowetz2010How] | Florian Markowetz. How to understand the cell by breaking it: network analysis of gene perturbation screens. PLoS Comput Biol, 6(2):e1000655, 2010. [ bib | DOI | http ] |
| [Chen2011Removing] | Chao Chen, Kay Grennan, Judith Badner, Dandan Zhang, Elliot Gershon, Li Jin, and Chunyu Liu. Removing batch effects in analysis of expression microarray data: an evaluation of six batch adjustment methods. PLoS One, 6(2):e17238, 2011. [ bib | DOI | http | Abstract ] |
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