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Bioinformatics (Oxford, England)|June 24, 2026
FFixR: A Machine Learning Framework for Accurate Somatic Mutation Calling from FFPE RNA-Seq Data in CancerOr Livne, Keren YizhakIscience|November 15, 2023
Metabolic predictors of response to immune checkpoint blockade therapyOfir Shorer, Keren YizhakNPJ Precision Oncology|April 1, 2025
Uncovering gene and cellular signatures of immune checkpoint response via machine learning and single-cell RNA-seqAsaf Pinhasi, Keren YizhakNature Communications|June 2, 2022
Estimating tumor mutational burden from RNA-sequencing without a matched-normal sampleRotem Katzir, Noam Rudberg, Keren YizhakCell Genomics|April 5, 2025
Single-cell meta-analysis of T cells reveals clonal dynamics of response to checkpoint immunotherapyOfir Shorer, Asaf Pinhasi, Keren YizhakPlos One|August 16, 2014
Integrating transcriptomics with metabolic modeling predicts biomarkers and drug targets for Alzheimer's diseaseShiri Stempler, Keren Yizhak, Eytan RuppinCurrent Opinion in Pharmacology|June 5, 2013
Metabolically re-modeling the drug pipelineMatthew A Oberhardt, Keren Yizhak, Eytan RuppinNature Communications|October 25, 2013
Model-based identification of drug targets that revert disrupted metabolism and its application to ageingKeren Yizhak, Orshay Gabay, Haim Cohen, et al.Molecular Systems Biology|July 2, 2015
Modeling cancer metabolism on a genome scaleKeren Yizhak, Barbara Chaneton, Eyal Gottlieb, et al.Molecular Systems Biology|April 1, 2011
Metabolic modeling of endosymbiont genome reduction on a temporal scaleKeren Yizhak, Tamir Tuller, Balázs Papp, et al.Pageof 4