Sayan Mukherjee - Publications

Duke University, Durham, NC 
Computational biology , statistical learning , Laplacian statistics

43 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2019 Cakir M, Mukherjee S, Wood KC. Label propagation defines signaling networks associated with recurrently mutated cancer genes. Scientific Reports. 9: 9401. PMID 31253832 DOI: 10.1038/s41598-019-45603-3  0.31
2018 Crawford L, Wood KC, Zhou X, Mukherjee S. Bayesian Approximate Kernel Regression with Variable Selection. Journal of the American Statistical Association. 113: 1710-1721. PMID 30799887 DOI: 10.1080/01621459.2017.1361830  0.333
2018 Zhao S, Engelhardt BE, Mukherjee S, Dunson DB. Fast Moment Estimation for Generalized Latent Dirichlet Models Journal of the American Statistical Association. 113: 1528-1540. DOI: 10.1080/01621459.2017.1341839  0.314
2017 Crawford L, Zeng P, Mukherjee S, Zhou X. Detecting epistasis with the marginal epistasis test in genetic mapping studies of quantitative traits. Plos Genetics. 13: e1006869. PMID 28746338 DOI: 10.1371/Journal.Pgen.1006869  0.303
2017 Sun S, Hood M, Scott L, Peng Q, Mukherjee S, Tung J, Zhou X. Differential expression analysis for RNAseq using Poisson mixed models. Nucleic Acids Research. PMID 28369632 DOI: 10.1093/Nar/Gkx204  0.329
2017 Bobrowski O, Mukherjee S, Taylor JE. Topological consistency via kernel estimation Bernoulli. 23: 288-328. DOI: 10.3150/15-BEJ744  0.302
2017 Lunagómez S, Mukherjee S, Wolpert RL, Airoldi EM. Geometric Representations of Random Hypergraphs Journal of the American Statistical Association. 112: 363-383. DOI: 10.1080/01621459.2016.1141686  0.737
2016 Mukherjee S, Steenbergen J. Random walks on simplicial complexes and harmonics. Random Structures & Algorithms. 49: 379-405. PMID 28303080 DOI: 10.1002/Rsa.20645  0.665
2016 Galinsky KJ, Bhatia G, Loh PR, Georgiev S, Mukherjee S, Patterson NJ, Price AL. Response to Shen et al. American Journal of Human Genetics. 99: 1220-1221. PMID 27814525 DOI: 10.1016/J.Ajhg.2016.09.013  0.57
2016 Galinsky KJ, Bhatia G, Loh PR, Georgiev S, Mukherjee S, Patterson NJ, Price AL. Fast Principal-Component Analysis Reveals Convergent Evolution of ADH1B in Europe and East Asia. American Journal of Human Genetics. PMID 26924531 DOI: 10.1016/J.Ajhg.2015.12.022  0.599
2015 Boyer DM, Puente J, Gladman JT, Glynn C, Mukherjee S, Yapuncich GS, Daubechies I. A new fully automated approach for aligning and comparing shapes. Anatomical Record (Hoboken, N.J. : 2007). 298: 249-76. PMID 25529243 DOI: 10.1002/Ar.23084  0.301
2015 McGoff K, Mukherjee S, Pillai N. Statistical inference for dynamical systems: A review Statistics Surveys. 9: 209-252. DOI: 10.1214/15-Ss111  0.514
2015 McGoff K, Mukherjee S, Nobel A, Pillai N. Consistency of maximum likelihood estimation for some dynamical systems Annals of Statistics. 43: 1-29. DOI: 10.1214/14-Aos1259  0.535
2014 Weiser M, Mukherjee S, Furey TS. Novel distal eQTL analysis demonstrates effect of population genetic architecture on detecting and interpreting associations. Genetics. 198: 879-93. PMID 25230953 DOI: 10.1534/Genetics.114.167791  0.321
2014 Xiong Q, Mukherjee S, Furey TS. GSAASeqSP: a toolset for gene set association analysis of RNA-Seq data. Scientific Reports. 4: 6347. PMID 25213199 DOI: 10.1038/Srep06347  0.323
2014 Steenbergen J, Klivans C, Mukherjee S. A Cheeger-type inequality on simplicial complexes Advances in Applied Mathematics. 56: 56-77. DOI: 10.1016/J.Aam.2014.01.002  0.656
2013 Blum JM, Añó L, Li Z, Van Mater D, Bennett BD, Sachdeva M, Lagutina I, Zhang M, Mito JK, Dodd LG, Cardona DM, Dodd RD, Williams N, Ma Y, Lepper C, ... ... Mukherjee S, et al. Distinct and overlapping sarcoma subtypes initiated from muscle stem and progenitor cells. Cell Reports. 5: 933-40. PMID 24239359 DOI: 10.1016/J.Celrep.2013.10.020  0.506
2013 Runcie DE, Mukherjee S. Dissecting high-dimensional phenotypes with bayesian sparse factor analysis of genetic covariance matrices. Genetics. 194: 753-67. PMID 23636737 DOI: 10.1534/Genetics.113.151217  0.341
2013 Wu Q, Liang F, Mukherjee S. Kernel sliced inverse regression: Regularization and consistency Abstract and Applied Analysis. 2013. DOI: 10.1155/2013/540725  0.408
2012 Bennett BD, Xiong Q, Mukherjee S, Furey TS. A predictive framework for integrating disparate genomic data types using sample-specific gene set enrichment analysis and multi-task learning. Plos One. 7: e44635. PMID 23028573 DOI: 10.1371/Journal.Pone.0044635  0.582
2012 Xiong Q, Ancona N, Hauser ER, Mukherjee S, Furey TS. Integrating genetic and gene expression evidence into genome-wide association analysis of gene sets. Genome Research. 22: 386-97. PMID 21940837 DOI: 10.1101/Gr.124370.111  0.337
2011 Garman KS, Acharya CR, Edelman E, Grade M, Gaedcke J, Sud S, Barry W, Diehl AM, Provenzale D, Ginsburg GS, Ghadimi BM, Ried T, Nevins JR, Mukherjee S, Hsu D, et al. Retraction for Garman et al: A genomic approach to colon cancer risk stratification yields biologic insights into therapeutic opportunities. Proceedings of the National Academy of Sciences of the United States of America. 108: 17569. PMID 21969600 DOI: 10.1073/pnas.1115170108  0.415
2011 Guinney J, Wu Q, Mukherjee S. Estimating variable structure and dependence in multitask learning via gradients Machine Learning. 83: 265-287. DOI: 10.1007/S10994-010-5217-4  0.634
2010 Georgiev S, Boyle AP, Jayasurya K, Ding X, Mukherjee S, Ohler U. Evidence-ranked motif identification. Genome Biology. 11: R19. PMID 20156354 DOI: 10.1186/Gb-2010-11-2-R19  0.584
2010 Mukherjee S, Wu Q, Zhou DX. Learning gradients on manifolds Bernoulli. 16: 181-207. DOI: 10.3150/09-BEJ206  0.459
2010 Wu Q, Liang F, Mukherjee S. Localized sliced inverse regression Journal of Computational and Graphical Statistics. 19: 843-860. DOI: 10.1198/jcgs.2010.08080  0.408
2010 Edelman E, Garman K, Potti A, Mukherjee S. Making Mountains out of Molehills: Moving from Single Gene to Pathway Based Models of Colon Cancer Progression Medical Biostatistics For Complex Diseases. 73-87. DOI: 10.1002/9783527630332.ch4  0.419
2009 Tung J, Fédrigo O, Haygood R, Mukherjee S, Wray GA. Genomic features that predict allelic imbalance in humans suggest patterns of constraint on gene expression variation. Molecular Biology and Evolution. 26: 2047-59. PMID 19506001 DOI: 10.1093/Molbev/Msp113  0.323
2008 Garman KS, Acharya CR, Edelman E, Grade M, Gaedcke J, Sud S, Barry W, Diehl AM, Provenzale D, Ginsburg GS, Ghadimi BM, Ried T, Nevins JR, Mukherjee S, Hsu D, et al. A genomic approach to colon cancer risk stratification yields biologic insights into therapeutic opportunities. Proceedings of the National Academy of Sciences of the United States of America. 105: 19432-7. PMID 19050079 DOI: 10.1073/Pnas.0806674105  0.514
2008 Edelman EJ, Guinney J, Chi JT, Febbo PG, Mukherjee S. Modeling cancer progression via pathway dependencies. Plos Computational Biology. 4: e28. PMID 18282083 DOI: 10.1371/Journal.Pcbi.0040028  0.667
2006 Edelman E, Porrello A, Guinney J, Balakumaran B, Bild A, Febbo PG, Mukherjee S. Analysis of sample set enrichment scores: assaying the enrichment of sets of genes for individual samples in genome-wide expression profiles. Bioinformatics (Oxford, England). 22: e108-16. PMID 16873460 DOI: 10.1093/Bioinformatics/Btl231  0.676
2006 Tropea D, Kreiman G, Lyckman A, Mukherjee S, Yu H, Horng S, Sur M. Gene expression changes and molecular pathways mediating activity-dependent plasticity in visual cortex. Nature Neuroscience. 9: 660-8. PMID 16633343 DOI: 10.1038/Nn1689  0.572
2006 Mukherjee S, Niyogi P, Poggio T, Rifkin R. Learning theory: Stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimization Advances in Computational Mathematics. 25: 161-193. DOI: 10.1007/s10444-004-7634-z  0.675
2005 Subramanian A, Tamayo P, Mootha VK, Mukherjee S, Ebert BL, Gillette MA, Paulovich A, Pomeroy SL, Golub TR, Lander ES, Mesirov JP. Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proceedings of the National Academy of Sciences of the United States of America. 102: 15545-50. PMID 16199517 DOI: 10.1073/Pnas.0506580102  0.336
2005 Sweet-Cordero A, Mukherjee S, Subramanian A, You H, Roix JJ, Ladd-Acosta C, Mesirov J, Golub TR, Jacks T. An oncogenic KRAS2 expression signature identified by cross-species gene-expression analysis. Nature Genetics. 37: 48-55. PMID 15608639 DOI: 10.1038/Ng1490  0.317
2005 Rakhlin A, Mukherjee S, Poggio T. Stability Results In Learning Theory Analysis and Applications. 3: 397-417. DOI: 10.1142/S0219530505000650  0.687
2005 Rakhlin A, Panchenko D, Mukherjee S. Risk bounds for mixture density estimation Esaim - Probability and Statistics. 9: 220-229. DOI: 10.1051/ps:2005011  0.595
2004 Poggio T, Rifkin R, Mukherjee S, Niyogi P. General conditions for predictivity in learning theory. Nature. 428: 419-22. PMID 15042089 DOI: 10.1038/nature02341  0.671
2003 Mukherjee S, Tamayo P, Rogers S, Rifkin R, Engle A, Campbell C, Golub TR, Mesirov JP. Estimating dataset size requirements for classifying DNA microarray data. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. 10: 119-42. PMID 12804087 DOI: 10.1089/106652703321825928  0.336
2003 Rifkin R, Mukherjee S, Tamayo P, Ramaswamy S, Yeang CH, Angelo M, Reich M, Poggio T, Lander ES, Golub TR, Mesirov JP. An analytical method for multiclass molecular cancer classification Siam Review. 45: 706-723. DOI: 10.1137/S0036144502411986  0.546
2002 Miller LD, Long PM, Wong L, Mukherjee S, McShane LM, Liu ET. Optimal gene expression analysis by microarrays. Cancer Cell. 2: 353-61. PMID 12450790 DOI: 10.1016/S1535-6108(02)00181-2  0.319
2001 Ramaswamy S, Tamayo P, Rifkin R, Mukherjee S, Yeang CH, Angelo M, Ladd C, Reich M, Latulippe E, Mesirov JP, Poggio T, Gerald W, Loda M, Lander ES, Golub TR. Multiclass cancer diagnosis using tumor gene expression signatures. Proceedings of the National Academy of Sciences of the United States of America. 98: 15149-54. PMID 11742071 DOI: 10.1073/Pnas.211566398  0.547
2001 Yeang CH, Ramaswamy S, Tamayo P, Mukherjee S, Rifkin RM, Angelo M, Reich M, Lander E, Mesirov J, Golub T. Molecular classification of multiple tumor types. Bioinformatics (Oxford, England). 17: S316-22. PMID 11473023 DOI: 10.1093/Bioinformatics/17.Suppl_1.S316  0.31
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