Recent Preprints

Way GP, Youngstrom DW, Hankenson KD, Greene CS*, Grant SFA*. Determining causal genes from GWAS signals using topologically associating domains. bioRxiv. doi:10.1101/087718. [GitHub - Zenodo, Docker - Zenodo]

Tan J, Doing G, Lewis KA, Price CE, Chen KM, Cady KC, Perchuk B, Laub MT, Hogan DA, Greene CS. System-wide automatic extraction of functional signatures in Pseudomonas aeruginosa with eADAGE. bioRxiv. doi:10.1101/078659 [Bitbucket]

Way GP, Allaway RA, Bouley SJ, Fadul CE, Sanchez Y, Greene CS. A machine learning classifier trained on cancer transcriptomes detects NF1 inactivation signal in glioblastoma. bioRxiv. doi:10.1101/075382 [GitHub, Docker]

Zelaya RA, Wong AK, Frase AT, Ritchie MD, Greene CS. Tribe: The collaborative platform for reproducible web-based analysis of gene setsbioRxiv. 2016. doi:10.1101/055913 [Bitbucket: Tribe Server; Tribe Client]

Taroni JN, Greene CS, Martyanov V, Wood TA, Christmann R, Farber HW, Lafyatis RA, Denton CP, Hinchcliff ME, Pioli PA, Mahoney JM, Whitfield ML. A Novel Multi-network Approach Reveals Tissue-specific Cellular Modulators of Fibrosis in Systemic Sclerosis, Pulmonary Fibrosis and Pulmonary Arterial Hypertension. bioRxiv. 2016. doi: 10.1101/038950

Recent Publications

Beaulieu-Jones BK, Greene CS. Continuous analysis automates reproducibility for computational workflows. Nature Biotechnology. In Press. [preprint][Github]

Greene CS. How to know what we don't. Science Translational Medicine. 8:364ec179. [Editor's Choice Summary of Zhou et al.]

Beaulieu-Jones BK, Greene CS. Semi-Supervised Learning of the Electronic Health Record for Phenotype Stratification. Journal of Biomedical Informatics. 64:168-178. [preprint][Github - results built via continuous analysis]

Greene CS. A stromal focus reveals tumor immune signatures. Science Translational Medicine. 8:358ec155. [Editor's Choice Summary]

Way GP, Rudd J, Wang C, Hamidi H, Fridley BL, Konecny G, Goode EL, Greene CS*, Doherty JA*. Comprehensive cross-population analysis of high-grade serous ovarian cancer supports no more than three subtypesG3: Genes | Genomes | Genetics. In Press. [preprint][source & data][Docker image

Krishnan A, Taroni JN, Greene CS. Integrative networks illuminate biological factors underlying gene-disease associations. Curr Genet Med Rep. 2016. [preprint]

Greene CS. Gut Check. Science Translational Medicine. 8:352ec131. [Editor's Choice Summary]

Greene CS. The future is unsupervisedScience Translational Medicine. 8:346ec108. [Editor's Choice Summary]

Jiang Y, Oron TR, Clark WT, Bankapur A, ... [>100 authors]. An expanded evaluation of protein function prediction methods shows an improvement in accuracyGenome Biology. 2016. 17:184. [preprint]

Greene CS. Nothing but a hound dogScience Translational Medicine. 8:340ec83. [Editor's Choice Summary]

Greene CS, Voight BF. Pathway and network-based strategies to translate genetic discoveries into effective therapies. Human Molecular Genetics. doi:10.1093/hmg/ddw160. [preprint]

Greene CS. CoINcIDE: All together now. Science Translational Medicine. 8:334ec61. [Editor's Choice Summary]

Greene CS, Himmelstein DS. Genetic Association Guided Analysis of Gene Networks for the Study of Complex Traits. Circulation: Cardiovascular Genetics. 2016 9:179-184. [source & data][free full text]

Song A, Yan J, Kim S, Risacher SL, Wong AK, Saykin AD, Shen L, Greene CS. Network-based analysis of genetic variants associated with hippocampal volume in Alzheimer's disease: a study of ADNI cohorts. BioData Mining. 2016 9:3. doi:10.1186/s13040-016-0082-8. [source & data]

Tan J, Hammond JH, Hogan DA, Greene CS. ADAGE-based integration of publicly available pseudomonas aeruginosa gene expression data with denoising autoencoders illuminates microbe-host interactionsmSystems. 2016 1(1):e00025-15. doi: 10.1128/mSystems.00025-15. [preprint][source & data]

Thompson JA, Tan J, Greene CS. Cross-platform normalization of microarray and RNA-seq data for machine learning applications. PeerJ. 2016 4:e1621. [preprint][R package][source & data]

Allaway RJ*, Fischer DA*, de Abreu FB, Gardner TB, Gordon SR, Barth RJ, Colacchio TA, Wood M, Kacsoh BZ, Bouley SJ, Cui J, Hamilton J, Choi JA, Lange JT, Peterson JD, Padmanabhan V, Tomlinson CR, Tsongalis GJ, Suriawinata A, Greene CS*, Sanchez Y*, Smith KD. Genomic characterization of patient-derived xenograft models established from fine needle aspirate biopsies of a primary pancreatic ductal adenocarcinoma and from patient-matched metastatic sites. Oncotarget. Feb 25. doi: 10.18632/oncotarget.7718. [Epub ahead of print]. [source & data]

Greene CS, Foster JA, Stanton BA, Hogan DA, Bromberg Y. Computational approaches to study microbes and microbiomesPac Sym Biocomput. 2016 21:557-67. [pdf]

Rudd J, Zelaya RA, Demidenko E, Goode EL, Greene CS, Doherty JA. Leveraging global gene expression patterns to predict expression of unmeasured genesBMC Genomics. 2015 16:1065. doi:10.1186/s12864-015-2250-5. [source & data]

Qian DC, Byun J, Han Y, Greene CS, Field JK, Hung RJ, Brhane Y, Mclaughlin JR, Fehringer G, Landi MT, Rosenberger A, Bickeböller H, Malhotra J, Risch A, Heinrich J, Hunter DJ, Henderson BE, Haiman CA, Schumacher FR, Eeles RA, Easton DF, Seminara D, Amos CI. Identification of shared and unique susceptibility pathways among cancers of the lung, breast, and prostate from genome-wide association studies and tissue-specific protein interactions. Hum Mol Genet. 2015 Dec 20;24(25):7406-20. doi: 10.1093/hmg/ddv440.

Gonzalez GH, Tahsin T, Goodale BC, Greene AC, Greene CS. Recent Advances and Emerging Applications in Text and Data Mining for Biomedical Discovery. Brief Bioinform. 2015 Sep 29. pii: bbv087. [Epub ahead of print]

Cordell HJ, Han Y, Mells GF, Li Y, Hirschfield GM, Greene CS et al. International genome-wide meta-analysis identifies new primary biliary cirrhosis risk loci and targetable pathogenic pathways. Nat Commun. 2015; PMID:26394269

Gui J, Greene CS, Sullivan C, Taylor W, Moore JH, Kim C. Testing multiple hypotheses through IMP weighted FDR based on a genetic functional network with application to a new zebrafish transcriptome study. BioData Min. 2015; PMID:26097506

Greene CS, Krishnan A, Wong AK,  Riccioti E, Zelaya RA, Himmelstein DS, Zhang R, Hartmann BM, Zaslavsky E, Sealfon SC, Chasman DI, FitzGerald GA, Dolinski K, Grosser T, Troyanskaya OG. Understanding multicellular function and disease with human tissue-specific networks. Nat Genetics. 2015; PMID:25915600 [processed networks][raw networks][webserver]

Zhu Q, Wong AK, Krishnan A, Aure MR, Tadych A, Zhang R, Corney DC, Greene CS, Bongo LA, Kristensen VN, Charikar M, Li K, Troyanskaya OG. Targeted exploration and analysis of large cross-platform human transcriptomic compendia. Nat Methods. 2015; PMID:25581801 [webserver]

Greene AC, Giffin KA, Greene CS, Moore JH. Adapting bioinformatics curricula for big data. Brief Bioinform. 2015; PMID:25829469

Tan J, Ung M, Cheng C, and Greene, CS. Unsupervised feature construction and knowledge extraction from genome-wide assays of breast cancer with denoising autoencoders. Pac Symp Biocomput. 2015; 20:132-43. PMID:25592575 [data & results]

Mahoney JM, Taroni J, Martyanov V, Wood TA, Greene CS, Pioli PA, Hinchcliff ME, Whitfield ML. Systems level analysis of systemic sclerosis shows a network of immune and profibrotic pathways connected with genetic polymorphisms. PLoS Comput Biol. 2015; 11(1):e1004005. PMID:25569146

Zieselman AL, Fisher JM, Hu T, Andrews PC, Greene CS, Shen L, Saykin AJ, Moore JH. Computational genetics analysis of grey matter density in Alzheimer's disease. BioData Min. 2014; 7:17. PMID: 25165488

Penrod NM, Greene CS, Moore JH. Predicting targeted drug combinations based on Pareto optimal patterns of coexpression network connectivity. Genome Med 2014; 6(4):33. PMID: 24944582

Greene CS, Tan J, Ung M, Moore JH, Cheng C. Big Data Bioinformatics. J Cell Physiol 2014 May 6. PMID: 24799088

Tan J, Grant GD, Whitfield ML, Greene, CS. Time-Point specific weighting improves coexpression networks from time-course experiments. Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics (EvoBIO) 2013. 11-22.

Ju W, Greene CS, Eichinger F, Nair V, Hodgin JB, Bitzer M, Lee YS, Zhu Q, Kehata M, Li M, Jiang S, Rastaldi MP, Cohen CD, Troyanskaya OG, Kretzler M. Defining cell-type specificity at the transcriptional level in human disease. Genome Res 2013 Nov; 23(11):1862-73. PMID: 23950145 [Highlighted by Nature Reviews Genetics]

Park CY, Wong AK, Greene CS, Rowland J, Guan Y, Bongo LA, Burdine RD, Troyanskaya OG. Functional knowledge transfer for high-accuracy prediction of under-studied biological processes. PLoS Comput Biol 2013; 9(3):e1002957. PMID: 23516347

Greene CS, Troyanskaya OG. Chapter 2: Data-driven view of disease biology. PLoS Comput Biol 2012; 8(12):e1002816. PMID: 23300408

Wong AK, Park CY, Greene CS, Bongo LA, Guan Y, Troyanskaya OG. IMP: a multi-species functional genomics portal for integration, visualization and prediction of protein functions and networks. Nucleic Acids Res 2012 Jul; 40(Web Server issue):W484-90. PMID: 22684505

Greene CS, Troyanskaya OG. Accurate evaluation and analysis of functional genomics data and methods. Ann N Y Acad Sci 2012 Jul; 1260:95-100. PMID: 22268703

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