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Predrag Radivojac

Showing results (121-130 of 175) with videos related to

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Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|January 17, 2015
Training the next generation of quantitative biologists in the era of big dataKristine A Pattin, Anna C Greene, Russ B Altman, et al.
Genome Research|May 29, 2020
Paternal age in rhesus macaques is positively associated with germline mutation accumulation but not with measures of offspring sociabilityRichard J Wang, Gregg W C Thomas, Muthuswamy Raveendran, et al.
Proceedings of the National Academy of Sciences of the United States of America|May 24, 2006
Alternative splicing in concert with protein intrinsic disorder enables increased functional diversity in multicellular organismsPedro R Romero, Saima Zaidi, Ya Yin Fang, et al.
Bioinformatics Advances|March 28, 2024
CAFA-evaluator: a Python tool for benchmarking ontological classification methodsDamiano Piovesan, Davide Zago, Parnal Joshi, et al.
Research Square|May 18, 2026
Gene- and domain-aware calibration increases the clinical utility of variant effect predictorsYile Chen, Vikas Pejaver, Shawn Fayer, et al.
Medrxiv : the Preprint Server for Health Sciences|March 18, 2024
Assessment of the evidence yield for the calibrated PP3/BP4 computational recommendationsSarah L Stenton, Vikas Pejaver, Timothy Bergquist, et al.
Nature Communications|November 21, 2020
Inferring the molecular and phenotypic impact of amino acid variants with MutPred2Vikas Pejaver, Jorge Urresti, Jose Lugo-Martinez, et al.
Bioinformatics (Oxford, England)|August 18, 2004
DisProt: a database of protein disorderSlobodan Vucetic, Zoran Obradovic, Vladimir Vacic, et al.
Biorxiv : the Preprint Server for Biology|February 27, 2026
Gene- and domain-aware calibration increases the clinical utility of variant effect predictorsYile Chen, Shawn Fayer, Shantanu Jain, et al.
Human Mutation|June 12, 2019
Assessment of methods for predicting the effects of PTEN and TPMT protein variantsVikas Pejaver, Giulia Babbi, Rita Casadio, et al.
Pageof 18

Showing results (121-130 of 175) with videos related to

Sort By:
Pageof 18
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|January 17, 2015
Training the next generation of quantitative biologists in the era of big dataKristine A Pattin, Anna C Greene, Russ B Altman, et al.
Genome Research|May 29, 2020
Paternal age in rhesus macaques is positively associated with germline mutation accumulation but not with measures of offspring sociabilityRichard J Wang, Gregg W C Thomas, Muthuswamy Raveendran, et al.
Proceedings of the National Academy of Sciences of the United States of America|May 24, 2006
Alternative splicing in concert with protein intrinsic disorder enables increased functional diversity in multicellular organismsPedro R Romero, Saima Zaidi, Ya Yin Fang, et al.
Bioinformatics Advances|March 28, 2024
CAFA-evaluator: a Python tool for benchmarking ontological classification methodsDamiano Piovesan, Davide Zago, Parnal Joshi, et al.
Research Square|May 18, 2026
Gene- and domain-aware calibration increases the clinical utility of variant effect predictorsYile Chen, Vikas Pejaver, Shawn Fayer, et al.
Medrxiv : the Preprint Server for Health Sciences|March 18, 2024
Assessment of the evidence yield for the calibrated PP3/BP4 computational recommendationsSarah L Stenton, Vikas Pejaver, Timothy Bergquist, et al.
Nature Communications|November 21, 2020
Inferring the molecular and phenotypic impact of amino acid variants with MutPred2Vikas Pejaver, Jorge Urresti, Jose Lugo-Martinez, et al.
Bioinformatics (Oxford, England)|August 18, 2004
DisProt: a database of protein disorderSlobodan Vucetic, Zoran Obradovic, Vladimir Vacic, et al.
Biorxiv : the Preprint Server for Biology|February 27, 2026
Gene- and domain-aware calibration increases the clinical utility of variant effect predictorsYile Chen, Shawn Fayer, Shantanu Jain, et al.
Human Mutation|June 12, 2019
Assessment of methods for predicting the effects of PTEN and TPMT protein variantsVikas Pejaver, Giulia Babbi, Rita Casadio, et al.
Pageof 18