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Connection

Casey Greene to Databases, Genetic

This is a "connection" page, showing publications Casey Greene has written about Databases, Genetic.

 
Connection Strength
 
 
 
1.300
 
  1. 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.
    View in: PubMed
    Score: 0.498
  2. Oh S, Geistlinger L, Ramos M, Blankenberg D, van den Beek M, Taroni JN, Carey VJ, Greene CS, Waldron L, Davis S. GenomicSuperSignature facilitates interpretation of RNA-seq experiments through robust, efficient comparison to public databases. Nat Commun. 2022 06 27; 13(1):3695.
    View in: PubMed
    Score: 0.171
  3. Sanchez-Vega F, Mina M, Armenia J, Chatila WK, Luna A, La KC, Dimitriadoy S, Liu DL, Kantheti HS, Saghafinia S, Chakravarty D, Daian F, Gao Q, Bailey MH, Liang WW, Foltz SM, Shmulevich I, Ding L, Heins Z, Ochoa A, Gross B, Gao J, Zhang H, Kundra R, Kandoth C, Bahceci I, Dervishi L, Dogrusoz U, Zhou W, Shen H, Laird PW, Way GP, Greene CS, Liang H, Xiao Y, Wang C, Iavarone A, Berger AH, Bivona TG, Lazar AJ, Hammer GD, Giordano T, Kwong LN, McArthur G, Huang C, Tward AD, Frederick MJ, McCormick F, Meyerson M, Van Allen EM, Cherniack AD, Ciriello G, Sander C, Schultz N. Oncogenic Signaling Pathways in The Cancer Genome Atlas. Cell. 2018 04 05; 173(2):321-337.e10.
    View in: PubMed
    Score: 0.128
  4. Tan J, Ung M, Cheng C, Greene CS. Unsupervised feature construction and knowledge extraction from genome-wide assays of breast cancer with denoising autoencoders. Pac Symp Biocomput. 2015; 132-43.
    View in: PubMed
    Score: 0.102
  5. Greene CS, Troyanskaya OG. Accurate evaluation and analysis of functional genomics data and methods. Ann N Y Acad Sci. 2012 Jul; 1260:95-100.
    View in: PubMed
    Score: 0.083
  6. 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.
    View in: PubMed
    Score: 0.080
  7. Greene CS, Sinnott-Armstrong NA, Himmelstein DS, Park PJ, Moore JH, Harris BT. Multifactor dimensionality reduction for graphics processing units enables genome-wide testing of epistasis in sporadic ALS. Bioinformatics. 2010 Mar 01; 26(5):694-5.
    View in: PubMed
    Score: 0.072
  8. Banerjee J, Allaway RJ, Taroni JN, Baker A, Zhang X, Moon CI, Pratilas CA, Blakeley JO, Guinney J, Hirbe A, Greene CS, Gosline SJ. Integrative Analysis Identifies Candidate Tumor Microenvironment and Intracellular Signaling Pathways that Define Tumor Heterogeneity in NF1. Genes (Basel). 2020 02 21; 11(2).
    View in: PubMed
    Score: 0.036
  9. 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.
    View in: PubMed
    Score: 0.029
  10. Rudd J, Zelaya RA, Demidenko E, Goode EL, Greene CS, Doherty JA. Leveraging global gene expression patterns to predict expression of unmeasured genes. BMC Genomics. 2015 Dec 15; 16:1065.
    View in: PubMed
    Score: 0.027
  11. 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 Mar; 12(3):211-4, 3 p following 214.
    View in: PubMed
    Score: 0.026
  12. 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.
    View in: PubMed
    Score: 0.026
  13. 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.
    View in: PubMed
    Score: 0.023
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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