 Connection
Arjun Krishnan to Genome-Wide Association Study
This is a "connection" page, showing publications Arjun Krishnan has written about Genome-Wide Association Study.
|
|
| |
Connection Strength |
|
 |
|
 |
| |
0.698 |
|
|
|
-
McKim A, Mancuso CA, Krishnan A. A module-based approach for post-omics, post-GWAS network-based gene classification. Bioinformatics. 2026 Aug 03; 42(8).
Score: 0.597
-
Rangan AV, McGrouther CC, Kelsoe J, Schork N, Stahl E, Zhu Q, Krishnan A, Yao V, Troyanskaya O, Bilaloglu S, Raghavan P, Bergen S, Jureus A, Landen M. A loop-counting method for covariate-corrected low-rank biclustering of gene-expression and genome-wide association study data. PLoS Comput Biol. 2018 05; 14(5):e1006105.
Score: 0.084
-
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: 0.017
|
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.
|