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Plos Computational Biology|June 13, 2009
Integrated assessment of genomic correlates of protein evolutionary rateYu Xia, Eric A Franzosa, Mark B Gerstein
Nature Communications|July 19, 2020
Using sigLASSO to optimize cancer mutation signatures jointly with sampling likelihoodShantao Li, Forrest W Crawford, Mark B Gerstein
Proceedings of the National Academy of Sciences of the United States of America|March 31, 2010
Analysis of diverse regulatory networks in a hierarchical context shows consistent tendencies for collaboration in the middle levelsNitin Bhardwaj, Koon-Kiu Yan, Mark B Gerstein
Nucleic Acids Research|December 17, 2025
DNA shape and epigenomics distinguish the mechanistic origin of human genomic structural variationsNadejda B Boev, Mark B Gerstein, Sushant Kumar
Journal of the Royal Society, Interface|March 19, 2024
Latent evolutionary signatures: a general framework for analysing music and cultural evolutionJonathan Warrell, Leonidas Salichos, Michael Gancz, et al.
Plos Computational Biology|June 30, 2017
Landscape and variation of novel retroduplications in 26 human populationsYan Zhang, Shantao Li, Alexej Abyzov, et al.
Bioinformatics (Oxford, England)|March 28, 2007
Assessing the need for sequence-based normalization in tiling microarray experimentsThomas E Royce, Joel S Rozowsky, Mark B Gerstein
Proceedings of the National Academy of Sciences of the United States of America|August 7, 2024
Leveraging a large language model to predict protein phase transition: A physical, multiscale, and interpretable approachMor Frank, Pengyu Ni, Matthew Jensen, et al.
Proceedings of the National Academy of Sciences of the United States of America|December 14, 2007
Positive selection at the protein network periphery: evaluation in terms of structural constraints and cellular contextPhilip M Kim, Jan O Korbel, Mark B Gerstein
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