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Bioinformatics (Oxford, England)|August 29, 2015
CoD: inferring immune-cell quantities related to disease statesAmit Frishberg, Yael Steuerman, Irit Gat-ViksBioinformatics (Oxford, England)|August 18, 2016
ImmQuant: a user-friendly tool for inferring immune cell-type composition from gene-expression dataAmit Frishberg, Avital Brodt, Yael Steuerman, et al.Plos Computational Biology|April 2, 2016
Exploiting Gene-Expression Deconvolution to Probe the Genetics of the Immune SystemYael Steuerman, Irit Gat-ViksBioinformatics (Oxford, England)|March 5, 2020
Inferring cellular heterogeneity of associations from single cell genomicsMaya Levy, Amit Frishberg, Irit Gat-ViksElife|March 18, 2015
Linking traits based on their shared molecular mechanismsYael Oren, Aharon Nachshon, Amit Frishberg, et al.Cell Systems|June 11, 2018
Dissection of Influenza Infection In Vivo by Single-Cell RNA SequencingYael Steuerman, Merav Cohen, Naama Peshes-Yaloz, et al.Genetics|March 18, 2021
Leveraging the cell lineage to predict cell-type specificity of regulatory variation from bulk genomicsGal Yankovitz, Ofir Cohn, Eran Bacharach, et al.Nature Methods|March 20, 2019
Cell composition analysis of bulk genomics using single-cell dataAmit Frishberg, Naama Peshes-Yaloz, Ofir Cohn, et al.Genome Research|February 3, 2007
Refinement and expansion of signaling pathways: the osmotic response network in yeastIrit Gat-Viks, Ron ShamirPlos Computational Biology|February 7, 2009
Evidence for gene-specific rather than transcription rate-dependent histone H3 exchange in yeast coding regionsIrit Gat-Viks, Martin VingronPageof 7