SENet: A deep learning framework for discriminating super- and typical enhancers by sequence information

Deep Residual Learning for Image Recognition

Kaiming He, Xiangyu Zhang, Shaoqing Ren et al. · 2016 · 214.9K citations · Full text

Image Classification, Deep Neural Networks, Machine Vision +14

Visualizing Data using t-SNE

Laurens van der Maaten, Geoffrey E. Hinton · Journal of Machine Learning Research · 2008 · 35.7K citations

Engineering, Data Visualization, Data Exploration +16

Master Transcription Factors and Mediator Establish Super-Enhancers at Key Cell Identity Genes

Warren A. Whyte, David A. Orlando, Denes Hnisz et al. · Cell · 2013 · 4.2K citations · Full text

Transcriptional Regulation, Developmental Biology, Cell Regulation +9

Super-Enhancers in the Control of Cell Identity and Disease

Denes Hnisz, Brian J. Abraham, Tong Ihn Lee et al. · Cell · 2013 · 3.8K citations · Full text

Cell Regulation, Autoimmunity, Cell Identity +4

The UCSC Genome Browser Database

Donna Karolchik · Nucleic Acids Research · 2003 · 1.9K citations · Full text

Engineering, Genetics, Genomics +17