Coupled Two-way Clustering Server. - Gad Getz; Eytan Domany (Bioinform., 2003)

Coupled Two-way Clustering Analysis of Breast Cancer and Colon Cancer Gene Expression Data. - Gad Getz; Hilah Gal; Itai Kela; Daniel A. Notterman; Eytan Domany (Bioinform., 2003)

F2CS: FSSP to CATH and SCOP prediction server. - Gad Getz; Alina Starovolsky; Eytan Domany (Bioinform., 2004)

Outcome signature genes in breast cancer: is there a unique set?. - Liat Ein-Dor; Itai Kela; Gad Getz; David Givol; Eytan Domany (Bioinform., 2005)

Finding Motifs in Promoter Regions. - Libi Hertzberg; Or Zuk; Gad Getz; Eytan Domany (J. Comput. Biol., 2005)

Comparative gene marker selection suite. - Joshua Gould; Gad Getz; Stefano Monti; Michael Reich; Jill P. Mesirov (Bioinform., 2006)

Semi-Supervised Learning – A Statistical Physics Approach - Gad Getz; Noam Shental; Eytan Domany (CoRR, 2006)

ContEst: estimating cross-contamination of human samples in next-generation sequencing data. - Kristian Cibulskis; Aaron McKenna; Tim Fennell; Eric Banks; Mark A. DePristo; Gad Getz (Bioinform., 2011)

RNA-SeQC: RNA-seq metrics for quality control and process optimization. - David S. DeLuca; Joshua Z. Levin; Andrey Sivachenko; Tim Fennell; Marc-Danie Nazaire; Chris Williams; Michael Reich; Wendy Winckler; Gad Getz (Bioinform., 2012)

Developing Algorithms to Discover Novel Cancer Genes: A look at the challenges and approaches. - Gordon Saksena; Craig H. Mermel; Gad Getz (IEEE Signal Process. Mag., 2012)

Nozzle: a report generation toolkit for data analysis pipelines. - Nils Gehlenborg; Michael S. Noble; Gad Getz; Lynda Chin; Peter J. Park (Bioinform., 2013)

PRADA: pipeline for RNA sequencing data analysis. - Wandaliz Torres-García; Siyuan Zheng; Andrey Sivachenko; Rahulsimham Vegesna; Qianghu Wang; Rong Yao; Michael F. Berger; John N. Weinstein; Gad Getz; Roel G. W. Verhaak (Bioinform., 2014)

Data analysis: Create a cloud commons. - Lincoln D. Stein; Bartha M. Knoppers; Peter Campbell; Gad Getz; Jan O. Korbel (Nat., 2015)

The impact of rare variation on gene expression across tissues. - Xin Li 130; Yungil Kim; Emily K. Tsang; Joe R. Davis; Farhan N. Damani; Colby Chiang; Gaelen T. Hess; Zachary Zappala; Benjamin J. Strober; Alexandra J. Scott; Amy Li; Andrea Ganna; et al. (Nat., 2017)

A (fire)cloud-based DNA methylation data preprocessing and quality control platform. - Divy Kangeyan; Andrew J. Dunford; Sowmya Iyer; Chip Stewart; Megan Hanna; Gad Getz; Martin J. Aryee (BMC Bioinform., 2019)

A structural variation reference for medical and population genetics. - Ryan L. Collins; Harrison Brand; Konrad J. Karczewski; Xuefang Zhao; Jessica Alföldi; Laurent C. Francioli; Amit V. Khera; Chelsea Lowther; Laura D. Gauthier; Harold Wang; Nicholas A. Watts; Matthew Solomonson; et al. (Nat., 2020)

The evolutionary history of 2,658 cancers. - Moritz Gerstung; Clemency Jolly; Ignaty Leshchiner; Stefan C. Dentro; Santiago Gonzalez; Thomas J. Mitchell; Yulia Rubanova; Pavana Anur; Kaixian Yu; Maxime Tarabichi; Amit G. Deshwar; Jeff Wintersinger; et al. (Nat., 2020)

Analyses of non-coding somatic drivers in 2,658 cancer whole genomes. - Esther Rheinbay; Morten Muhlig Nielsen; Federico Abascal; Jeremiah Wala; Ofer Shapira; Grace Tiao; Henrik Hornshøj; Julian M. Hess; Randi Istrup Juul; Ziao Lin; Lars Feuerbach; Radhakrishnan Sabarinathan; et al. (Nat., 2020)

RNA-SeQC 2: efficient RNA-seq quality control and quantification for large cohorts. - Aaron Graubert; François Aguet; Arvind Ravi; Kristin G. Ardlie; Gad Getz (Bioinform., 2021)

Tangent normalization for somatic copy-number inference in cancer genome analysis. - Galen F. Gao; Coyin Oh; Gordon Saksena; Davy Deng; Lindsay C. Westlake; Barbara A. Hill; Michael Reich; Steven E. Schumacher; Ashton C. Berger; Scott L. Carter; Andrew D. Cherniack; Matthew Meyerson; et al. (Bioinform., 2022)

Deeper evaluation of a single-cell foundation model. - Rebecca Boiarsky; Nalini M. Singh; Alejandro Buendia; Ava P. Amini; Gad Getz; David A. Sontag (Nat. Mac. Intell., 2024)

AnnoMate: Exploring and annotating integrated molecular data through custom interactive visualizations. - Claudia Chu; Conor Messer; Samantha Van Seters; Mendy Miller; Kristy L. Schlueter-Kuck; Gad Getz (Patterns, 2024)

SplitFusion enables ultrasensitive gene fusion detection and reveals fusion variant-associated tumor heterogeneity. - Weiwei Bian; Baifeng Zhang; Zhengbo Song; Binyamin A. Knisbacher; Yee Man Chan; Chloe Bao; Chunwei Xu; Wenxian Wang; Athena Hoi Yee Chu; Chenyu Lu; Hongxian Wang; Siyu Bao; et al. (Patterns, 2025)