 Connection
Scott Auerbach to Reproducibility of Results
This is a "connection" page, showing publications Scott Auerbach has written about Reproducibility of Results.
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Connection Strength |
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0.128 |
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Auerbach SS, Xu M, Merrick BA, Hoenerhoff MJ, Phadke D, Taxman DJ, Shah R, Hong HL, Ton TV, Kovi RC, Sills RC, Pandiri AR. Exome Sequencing of Fresh-frozen or Formalin-fixed Paraffin-embedded B6C3F1/N Mouse Hepatocellular Carcinomas Arising Either Spontaneously or due to Chronic Chemical Exposure. Toxicol Pathol. 2018 08; 46(6):706-718.
Score: 0.084
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Alves VM, Auerbach SS, Kleinstreuer N, Rooney JP, Muratov EN, Rusyn I, Tropsha A, Schmitt C. Curated Data In - Trustworthy In Silico Models Out: The Impact of Data Quality on the Reliability of Artificial Intelligence Models as Alternatives to Animal Testing. Altern Lab Anim. 2021 May; 49(3):73-82.
Score: 0.026
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Almond CS, Hoen H, Rossano JW, Castleberry C, Auerbach SR, Yang L, Lal AK, Everitt MD, Fenton M, Hollander SA, Pahl E, Pruitt E, Rosenthal DN, McElhinney DB, Daly KP, Desai M. Development and validation of a major adverse transplant event (MATE) score to predict late graft loss in pediatric heart transplantation. J Heart Lung Transplant. 2018 04; 37(4):441-450.
Score: 0.019
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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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