 Connection
Arjun Krishnan to Humans
This is a "connection" page, showing publications Arjun Krishnan has written about Humans.
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Connection Strength |
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0.183 |
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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: 0.024
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Yuan H, Mancuso CA, Johnson K, Braasch I, Krishnan A. Computational strategies for cross-species knowledge transfer. Nat Methods. 2026 Feb; 23(2):312-327.
Score: 0.023
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Yuan H, Hicks P, Ahmadian M, Johnson KA, Valtadoros L, Krishnan A. Annotating publicly-available samples and studies using interpretable modeling of unstructured metadata. Brief Bioinform. 2024 Nov 22; 26(1).
Score: 0.021
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Hawkins NT, Maldaver M, Yannakopoulos A, Guare LA, Krishnan A. Systematic tissue annotations of genomics samples by modeling unstructured metadata. Nat Commun. 2022 11 08; 13(1):6736.
Score: 0.019
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Mancuso CA, Bills PS, Krum D, Newsted J, Liu R, Krishnan A. GenePlexus: a web-server for gene discovery using network-based machine learning. Nucleic Acids Res. 2022 07 05; 50(W1):W358-W366.
Score: 0.018
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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: 0.016
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Liu R, Mancuso CA, Yannakopoulos A, Johnson KA, Krishnan A. Supervised learning is an accurate method for network-based gene classification. Bioinformatics. 2020 06 01; 36(11):3457-3465.
Score: 0.016
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Breunig S, Lee YH, Karlson EW, Krishnan A, Lawrence JM, Schaffer LS, Grotzinger AD. Examining the genetic links between clusters of immune-mediated diseases and psychiatric disorders. Transl Psychiatry. 2025 Jul 21; 15(1):252.
Score: 0.006
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Abdill RJ, Graham SP, Rubinetti V, Ahmadian M, Hicks P, Chetty A, McDonald D, Ferretti P, Gibbons E, Rossi M, Krishnan A, Albert FW, Greene CS, Davis S, Blekhman R. Integration of 168,000 samples reveals global patterns of the human gut microbiome. Cell. 2025 Feb 20; 188(4):1100-1118.e17.
Score: 0.005
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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: 0.004
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Jensen M, Tyryshkina A, Pizzo L, Smolen C, Das M, Huber E, Krishnan A, Girirajan S. Combinatorial patterns of gene expression changes contribute to variable expressivity of the developmental delay-associated 16p12.1 deletion. Genome Med. 2021 10 18; 13(1):163.
Score: 0.004
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Pizzo L, Lasser M, Yusuff T, Jensen M, Ingraham P, Huber E, Singh MD, Monahan C, Iyer J, Desai I, Karthikeyan S, Gould DJ, Yennawar S, Weiner AT, Pounraja VK, Krishnan A, Rolls MM, Lowery LA, Girirajan S. Functional assessment of the "two-hit" model for neurodevelopmental defects in Drosophila and X. laevis. PLoS Genet. 2021 04; 17(4):e1009112.
Score: 0.004
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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: 0.004
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Pizzo L, Jensen M, Polyak A, Rosenfeld JA, Mannik K, Krishnan A, McCready E, Pichon O, Le Caignec C, Van Dijck A, Pope K, Voorhoeve E, Yoon J, Stankiewicz P, Cheung SW, Pazuchanics D, Huber E, Kumar V, Kember RL, Mari F, Curró A, Castiglia L, Galesi O, Avola E, Mattina T, Fichera M, Mandarà L, Vincent M, Nizon M, Mercier S, Bénéteau C, Blesson S, Martin-Coignard D, Mosca-Boidron AL, Caberg JH, Bucan M, Zeesman S, Nowaczyk MJM, Lefebvre M, Faivre L, Callier P, Skinner C, Keren B, Perrine C, Prontera P, Marle N, Renieri A, Reymond A, Kooy RF, Isidor B, Schwartz C, Romano C, Sistermans E, Amor DJ, Andrieux J, Girirajan S. Rare variants in the genetic background modulate cognitive and developmental phenotypes in individuals carrying disease-associated variants. Genet Med. 2019 04; 21(4):816-825.
Score: 0.003
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Wong AK, Krishnan A, Troyanskaya OG. GIANT 2.0: genome-scale integrated analysis of gene networks in tissues. Nucleic Acids Res. 2018 07 02; 46(W1):W65-W70.
Score: 0.003
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Iyer J, Singh MD, Jensen M, Patel P, Pizzo L, Huber E, Koerselman H, Weiner AT, Lepanto P, Vadodaria K, Kubina A, Wang Q, Talbert A, Yennawar S, Badano J, Manak JR, Rolls MM, Krishnan A, Girirajan S. Pervasive genetic interactions modulate neurodevelopmental defects of the autism-associated 16p11.2 deletion in Drosophila melanogaster. Nat Commun. 2018 06 29; 9(1):2548.
Score: 0.003
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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: 0.003
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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: 0.003
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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.
Score: 0.003
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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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