 Connection
Scott Auerbach to Computational Biology
This is a "connection" page, showing publications Scott Auerbach has written about Computational Biology.
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Connection Strength |
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0.317 |
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O'Brien J, Mitchell C, Auerbach S, Doonan L, Ewald J, Everett L, Faranda A, Johnson K, Reardon A, Rooney J, Shao K, Stainforth R, Wheeler M, Dalmas Wilk D, Williams A, Yauk C, Costa E. Bioinformatic workflows for deriving transcriptomic points of departure: current status, data gaps, and research priorities. Toxicol Sci. 2025 Feb 01; 203(2):147-159.
Score: 0.165
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Wu L, Liu Z, Auerbach S, Huang R, Chen M, McEuen K, Xu J, Fang H, Tong W. Integrating Drug's Mode of Action into Quantitative Structure-Activity Relationships for Improved Prediction of Drug-Induced Liver Injury. J Chem Inf Model. 2017 04 24; 57(4):1000-1006.
Score: 0.096
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Johnson KJ, Auerbach SS, Costa E. A Rat Liver Transcriptomic Point of Departure Predicts a Prospective Liver or Non-liver Apical Point of Departure. Toxicol Sci. 2020 07 01; 176(1):86-102.
Score: 0.030
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Mav D, Shah RR, Howard BE, Auerbach SS, Bushel PR, Collins JB, Gerhold DL, Judson RS, Karmaus AL, Maull EA, Mendrick DL, Merrick BA, Sipes NS, Svoboda D, Paules RS. A hybrid gene selection approach to create the S1500+ targeted gene sets for use in high-throughput transcriptomics. PLoS One. 2018; 13(2):e0191105.
Score: 0.025
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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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