 Connection
Arjun Krishnan to Machine Learning
This is a "connection" page, showing publications Arjun Krishnan has written about Machine Learning.
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Connection Strength |
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2.054 |
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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: 0.565
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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 01; 20(1):e1011773.
Score: 0.532
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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).
Score: 0.496
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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: 0.125
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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: 0.123
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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: 0.120
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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: 0.094
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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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