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
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
Research
Dynamics of the epigenetic landscape during erythroid differentiation after GATA1 restoration
- First Published July 27, 2011
Method
Genome-wide identification of conserved regulatory function in diverged sequences
- First Published May 31, 2011
Article
Erythroid GATA1 function revealed by genome-wide analysis of transcription factor occupancy, histone modifications, and mRNA expression
- First Published November 3, 2009