 Connection
Casey Greene to Gene Expression Profiling
This is a "connection" page, showing publications Casey Greene has written about Gene Expression Profiling.
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4.242 |
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Pividori M, Ritchie MD, Milone DH, Greene CS. An efficient, not-only-linear correlation coefficient based on clustering. Cell Syst. 2024 Sep 18; 15(9):854-868.e3.
Score: 0.559
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Hippen AA, Omran DK, Weber LM, Jung E, Drapkin R, Doherty JA, Hicks SC, Greene CS. Performance of computational algorithms to deconvolve heterogeneous bulk ovarian tumor tissue depends on experimental factors. Genome Biol. 2023 10 20; 24(1):239.
Score: 0.526
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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: 0.489
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Taroni JN, Grayson PC, Hu Q, Eddy S, Kretzler M, Merkel PA, Greene CS. MultiPLIER: A Transfer Learning Framework for Transcriptomics Reveals Systemic Features of Rare Disease. Cell Syst. 2019 05 22; 8(5):380-394.e4.
Score: 0.387
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Hu Q, Greene CS. Parameter tuning is a key part of dimensionality reduction via deep variational autoencoders for single cell RNA transcriptomics. Pac Symp Biocomput. 2019; 24:362-373.
Score: 0.377
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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: 0.349
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Beaulieu-Jones BK, Greene CS. Reproducibility of computational workflows is automated using continuous analysis. Nat Biotechnol. 2017 04; 35(4):342-346.
Score: 0.333
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Greene CS, Troyanskaya OG. PILGRM: an interactive data-driven discovery platform for expert biologists. Nucleic Acids Res. 2011 Jul; 39(Web Server issue):W368-74.
Score: 0.223
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Ivich A, Davidson NR, Grieshober L, Li W, Hicks SC, Doherty JA, Greene CS. Missing cell types in single-cell references impact deconvolution of bulk data but are detectable. Genome Biol. 2025 Apr 07; 26(1):86.
Score: 0.146
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Heil BJ, Crawford J, Greene CS. The effect of non-linear signal in classification problems using gene expression. PLoS Comput Biol. 2023 03; 19(3):e1010984.
Score: 0.126
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Foltz SM, Greene CS, Taroni JN. Cross-platform normalization enables machine learning model training on microarray and RNA-seq data simultaneously. Commun Biol. 2023 02 25; 6(1):222.
Score: 0.126
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Lin YT, Way GP, Barwick BG, Mariano MC, Marcoulis M, Ferguson ID, Driessen C, Boise LH, Greene CS, Wiita AP. Integrated phosphoproteomics and transcriptional classifiers reveal hidden RAS signaling dynamics in multiple myeloma. Blood Adv. 2019 11 12; 3(21):3214-3227.
Score: 0.100
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Way GP, Greene CS. Extracting a biologically relevant latent space from cancer transcriptomes with variational autoencoders. Pac Symp Biocomput. 2018; 23:80-91.
Score: 0.088
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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: 0.088
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Tan J, Doing G, Lewis KA, Price CE, Chen KM, Cady KC, Perchuk B, Laub MT, Hogan DA, Greene CS. Unsupervised Extraction of Stable Expression Signatures from Public Compendia with an Ensemble of Neural Networks. Cell Syst. 2017 07 26; 5(1):63-71.e6.
Score: 0.085
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Greene CS, Tan J, Ung M, Moore JH, Cheng C. Big data bioinformatics. J Cell Physiol. 2014 Dec; 229(12):1896-900.
Score: 0.071
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Zhang S, Heil BJ, Mao W, Chikina M, Greene CS, Heller EA. MousiPLIER: A Mouse Pathway-Level Information Extractor Model. eNeuro. 2024 Jun; 11(6).
Score: 0.034
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Neff SL, Doing G, Reiter T, Hampton TH, Greene CS, Hogan DA. Pseudomonas aeruginosa transcriptome analysis of metal restriction in ex vivo cystic fibrosis sputum. Microbiol Spectr. 2024 Apr 02; 12(4):e0315723.
Score: 0.034
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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: 0.024
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Dahlstrom KM, Collins AJ, Doing G, Taroni JN, Gauvin TJ, Greene CS, Hogan DA, O'Toole GA. A Multimodal Strategy Used by a Large c-di-GMP Network. J Bacteriol. 2018 04 15; 200(8).
Score: 0.022
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Way GP, Rudd J, Wang C, Hamidi H, Fridley BL, Konecny GE, Goode EL, Greene CS, Doherty JA. Comprehensive Cross-Population Analysis of High-Grade Serous Ovarian Cancer Supports No More Than Three Subtypes. G3 (Bethesda). 2016 12 07; 6(12):4097-4103.
Score: 0.020
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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 Jan; 11(1):e1004005.
Score: 0.018
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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.
Score: 0.016
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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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