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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
Resource

An integrative TAD catalog in lymphoblastoid cell lines discloses the functional impact of deletions and insertions in human genomes

  • First Published December 5, 2024
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

Assessing and mitigating privacy risks of sparse, noisy genotypes by local alignment to haplotype databases

  • First Published December 14, 2023
Method

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

  • First Published July 20, 2021
Research

Dynamic RNA–protein interactions underlie the zebrafish maternal-to-zygotic transition

  • First Published April 5, 2017
Research

Pangolin genomes and the evolution of mammalian scales and immunity

  • First Published August 10, 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
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