 Connection
Arjun Krishnan to Gene Expression Profiling
This is a "connection" page, showing publications Arjun Krishnan has written about Gene Expression Profiling.
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Connection Strength |
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1.245 |
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Johnson KA, Krishnan A. Robust normalization and transformation techniques for constructing gene coexpression networks from RNA-seq data. Genome Biol. 2022 01 03; 23(1):1.
Score: 0.427
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Mancuso CA, Canfield JL, Singla D, Krishnan A. A flexible, interpretable, and accurate approach for imputing the expression of unmeasured genes. Nucleic Acids Res. 2020 12 02; 48(21):e125.
Score: 0.396
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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: 0.147
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Samart K, Tuyishime P, Krishnan A, Ravi J. Reconciling multiple connectivity scores for drug repurposing. Brief Bioinform. 2021 11 05; 22(6).
Score: 0.106
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Lee YS, Krishnan A, Oughtred R, Rust J, Chang CS, Ryu J, Kristensen VN, Dolinski K, Theesfeld CL, Troyanskaya OG. A Computational Framework for Genome-wide Characterization of the Human Disease Landscape. Cell Syst. 2019 02 27; 8(2):152-162.e6.
Score: 0.087
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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: 0.083
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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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