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Corrigendum

Corrigendum: Machine learning identifies activation of RUNX/AP-1 as drivers of mesenchymal and fibrotic regulatory programs in gastric cancer

  • First Published February 3, 2026
Research

Evolutionary dynamics of polyadenylation signals and their recognition strategies in protists

  • First Published September 26, 2024
Research

Machine learning identifies activation of RUNX/AP-1 as drivers of mesenchymal and fibrotic regulatory programs in gastric cancer

  • First Published May 22, 2024
Method

Sequence-based correction of barcode bias in massively parallel reporter assays

  • First Published July 20, 2021
Research

Yeast genetic interaction screen of human genes associated with amyotrophic lateral sclerosis: identification of MAP2K5 kinase as a potential drug target

  • First Published June 8, 2017
Method

An extended set of yeast-based functional assays accurately identifies human disease mutations

  • First Published March 14, 2016
Research

Divergent functions of hematopoietic transcription factors in lineage priming and differentiation during erythro-megakaryopoiesis

  • First Published October 15, 2014
Method

Integration of ChIP-seq and machine learning reveals enhancers and a predictive regulatory sequence vocabulary in melanocytes

  • First Published September 27, 2012
Method

Discriminative prediction of mammalian enhancers from DNA sequence

  • First Published August 29, 2011
Resource

C. elegans ORFeome" > Large-scale RACE approach for proactive experimental definition of C. elegans ORFeome

  • First Published October 2, 2009
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