Connection
Casey Greene to Gene Regulatory Networks
This is a "connection" page, showing publications Casey Greene has written about Gene Regulatory Networks.
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Connection Strength |
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2.283 |
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Harrington LX, Way GP, Doherty JA, Greene CS. Functional network community detection can disaggregate and filter multiple underlying pathways in enrichment analyses. Pac Symp Biocomput. 2018; 23:157-167.
Score: 0.523
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Greene CS, Himmelstein DS. Genetic Association-Guided Analysis of Gene Networks for the Study of Complex Traits. Circ Cardiovasc Genet. 2016 Apr; 9(2):179-84.
Score: 0.464
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Greene CS, Krishnan A, Wong AK, Ricciotti 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 Genet. 2015 Jun; 47(6):569-76.
Score: 0.435
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Pividori M, Lu S, Li B, Su C, Johnson ME, Wei WQ, Feng Q, Namjou B, Kiryluk K, Kullo IJ, Luo Y, Sullivan BD, Voight BF, Skarke C, Ritchie MD, Grant SFA, Greene CS. Projecting genetic associations through gene expression patterns highlights disease etiology and drug mechanisms. Nat Commun. 2023 09 09; 14(1):5562.
Score: 0.194
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Lee AJ, Mould DL, Crawford J, Hu D, Powers RK, Doing G, Costello JC, Hogan DA, Greene CS. SOPHIE: Generative Neural Networks Separate Common and Specific Transcriptional Responses. Genomics Proteomics Bioinformatics. 2022 10; 20(5):912-927.
Score: 0.182
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Taylor DM, Aronow BJ, Tan K, Bernt K, Salomonis N, Greene CS, Frolova A, Henrickson SE, Wells A, Pei L, Jaiswal JK, Whitsett J, Hamilton KE, MacParland SA, Kelsen J, Heuckeroth RO, Potter SS, Vella LA, Terry NA, Ghanem LR, Kennedy BC, Helbig I, Sullivan KE, Castelo-Soccio L, Kreigstein A, Herse F, Nawijn MC, Koppelman GH, Haendel M, Harris NL, Rokita JL, Zhang Y, Regev A, Rozenblatt-Rosen O, Rood JE, Tickle TL, Vento-Tormo R, Alimohamed S, Lek M, Mar JC, Loomes KM, Barrett DM, Uapinyoying P, Beggs AH, Agrawal PB, Chen YW, Muir AB, Garmire LX, Snapper SB, Nazarian J, Seeholzer SH, Fazelinia H, Singh LN, Faryabi RB, Raman P, Dawany N, Xie HM, Devkota B, Diskin SJ, Anderson SA, Rappaport EF, Peranteau W, Wikenheiser-Brokamp KA, Teichmann S, Wallace D, Peng T, Ding YY, Kim MS, Xing Y, Kong SW, B?nnemann CG, Mandl KD, White PS. The Pediatric Cell Atlas: Defining the Growth Phase of Human Development at Single-Cell Resolution. Dev Cell. 2019 04 08; 49(1):10-29.
Score: 0.143
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Tan J, Huyck M, Hu D, Zelaya RA, Hogan DA, Greene CS. ADAGE signature analysis: differential expression analysis with data-defined gene sets. BMC Bioinformatics. 2017 Nov 22; 18(1):512.
Score: 0.130
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Taroni JN, Greene CS, Martyanov V, Wood TA, Christmann RB, 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. Genome Med. 2017 03 23; 9(1):27.
Score: 0.124
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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.
Score: 0.089
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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