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Nathan Linial

Showing results (1-10 of 20) with videos related to

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Proceedings of the National Academy of Sciences of the United States of America|August 12, 2004
Approximate protein structural alignment in polynomial timeRachel Kolodny, Nathan Linial
Nucleic Acids Research|April 6, 2017
Enhancing identification of cancer types via lowly-expressed microRNAsRoni Rasnic, Nathan Linial, Michal Linial
Bioinformatics (Oxford, England)|June 21, 2011
Generative probabilistic models for protein-protein interaction networks--the biclique perspectiveRegev Schweiger, Michal Linial, Nathan Linial
Bioinformatics (Oxford, England)|August 10, 2002
The metric space of proteins-comparative study of clustering algorithmsOri Sasson, Nathan Linial, Michal Linial
Genome Biology|July 16, 2020
PWAS: proteome-wide association study-linking genes and phenotypes by functional variation in proteinsNadav Brandes, Nathan Linial, Michal Linial
Scientific Reports|August 12, 2020
Expanding cancer predisposition genes with ultra-rare cancer-exclusive human variationsRoni Rasnic, Nathan Linial, Michal Linial
Nucleic Acids Research|July 24, 2019
Quantifying gene selection in cancer through protein functional alteration biasNadav Brandes, Nathan Linial, Michal Linial
Nature Biotechnology|April 9, 2013
ProtoNet: charting the expanding universe of protein sequencesNadav Rappoport, Nathan Linial, Michal Linial
Nucleic Acids Research|November 14, 2006
EVEREST: a collection of evolutionary conserved protein domainsElon Portugaly, Nathan Linial, Michal Linial
Scientific Reports|July 22, 2021
Genetic association studies of alterations in protein function expose recessive effects on cancer predispositionNadav Brandes, Nathan Linial, Michal Linial
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Proceedings of the National Academy of Sciences of the United States of America|August 12, 2004
Approximate protein structural alignment in polynomial timeRachel Kolodny, Nathan Linial
Nucleic Acids Research|April 6, 2017
Enhancing identification of cancer types via lowly-expressed microRNAsRoni Rasnic, Nathan Linial, Michal Linial
Bioinformatics (Oxford, England)|June 21, 2011
Generative probabilistic models for protein-protein interaction networks--the biclique perspectiveRegev Schweiger, Michal Linial, Nathan Linial
Bioinformatics (Oxford, England)|August 10, 2002
The metric space of proteins-comparative study of clustering algorithmsOri Sasson, Nathan Linial, Michal Linial
Genome Biology|July 16, 2020
PWAS: proteome-wide association study-linking genes and phenotypes by functional variation in proteinsNadav Brandes, Nathan Linial, Michal Linial
Scientific Reports|August 12, 2020
Expanding cancer predisposition genes with ultra-rare cancer-exclusive human variationsRoni Rasnic, Nathan Linial, Michal Linial
Nucleic Acids Research|July 24, 2019
Quantifying gene selection in cancer through protein functional alteration biasNadav Brandes, Nathan Linial, Michal Linial
Nature Biotechnology|April 9, 2013
ProtoNet: charting the expanding universe of protein sequencesNadav Rappoport, Nathan Linial, Michal Linial
Nucleic Acids Research|November 14, 2006
EVEREST: a collection of evolutionary conserved protein domainsElon Portugaly, Nathan Linial, Michal Linial
Scientific Reports|July 22, 2021
Genetic association studies of alterations in protein function expose recessive effects on cancer predispositionNadav Brandes, Nathan Linial, Michal Linial
Pageof 2