 Arjun Krishnan
| Title | Associate Professor |
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| Institution | University of Colorado Denver - Anschutz Medical Campus |
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| Department | SOM-BIOMED Informatics Gen Ops |
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 Bibliographic
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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). PMID: 39710433.
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Pividori M, Sadeeq S, Krishnan A, Stranger BE, Gignoux CR. Uncovering hidden gene-trait patterns through biclustering analysis of the UK Biobank. bioRxiv. 2024 Nov 11. PMID: 39605717.
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Yuan H, Mancuso CA, Johnson K, Braasch I, Krishnan A. Computational strategies for cross-species knowledge transfer and translational biomedicine. ArXiv. 2024 Aug 16. PMID: 39184546.
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Gomez-Cano F, Rodriguez J, Zhou P, Chu YH, Magnusson E, Gomez-Cano L, Krishnan A, Springer NM, de Leon N, Grotewold E. Prioritizing Maize Metabolic Gene Regulators through Multi-Omic Network Integration. bioRxiv. 2024 Jul 24. PMID: 38464086.
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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. medRxiv. 2024 Jul 19. PMID: 39072040.
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Mancuso CA, Johnson KA, Liu R, Krishnan A. Joint representation of molecular networks from multiple species improves gene classification. PLoS Comput Biol. 2024 Jan; 20(1):e1011773. PMID: 38198480.
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Mancuso CA, Liu R, Krishnan A. PyGenePlexus: a Python package for gene discovery using network-based machine learning. Bioinformatics. 2023 02 03; 39(2). PMID: 36721325.
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Liu R, Hirn M, Krishnan A. Accurately modeling biased random walks on weighted networks using node2vec. Bioinformatics. 2023 01 01; 39(1). PMID: 36688699.
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Hickey SL, McKim A, Mancuso CA, Krishnan A. A network-based approach for isolating the chronic inflammation gene signatures underlying complex diseases towards finding new treatment opportunities. Front Pharmacol. 2022; 13:995459. PMID: 36313344.
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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. PMID: 35580053.
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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. PMID: 34980209.
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Liu R, Krishnan A. PecanPy: a fast, efficient and parallelized Python implementation of node2vec. Bioinformatics. 2021 Oct 11; 37(19):3377-3379. PMID: 33760066.
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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. PMID: 33074331.
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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. PMID: 32129827.
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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. PMID: 29758032.
This graph shows the total number of publications by year, by first, middle/unknown, or last author.
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| Year | Publications |
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| 2018 | 1 | | 2020 | 2 | | 2021 | 1 | | 2022 | 3 | | 2023 | 2 | | 2024 | 6 |
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