 Connection
Arjun Krishnan to Computational Biology
This is a "connection" page, showing publications Arjun Krishnan has written about Computational Biology.
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Connection Strength |
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2.615 |
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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: 0.682
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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: 0.653
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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).
Score: 0.536
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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: 0.445
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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: 0.152
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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: 0.123
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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: 0.024
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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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