bernardo-de-almeida/DeepSTARR
Deep learning model built to quantitatively predict the activities of developmental and housekeeping enhancers from DNA sequence in Drosophila melanogaster S2 cells
Jupyter NotebookMIT
Stargazers
- 3yqq
- adamklieUniversity of California, San Diego
- adRn-sMax Planck Institut für Immunobiologie und Epigenetik
- agduncan94University of Toronto
- ArnovanHilten
- banma12956
- buzhizhang121
- christophricoInnerPlant
- colindavenGermany
- daizaoNantong University
- edmundmiller@Functional-Genomics-Lab
- gbaniulyteAlbany, NY
- gokceneraslanGenentech
- graham-flemingVancouver BC, Canada
- Hendricks27WUSTL
- jacobhepkemaWellcome Sanger Institute
- JihedCThe Netherlands
- Jingyu-Fan
- JiwonKohDaejeon, South Korea
- junghyunJJCedars-Sinal Medical Center
- kaixuanDeng95华中农业大学
- Kevin-Brockers
- leschnitzel
- lnalinaf
- monikaheinzl
- pkerpedjiev
- SeuTaoShanghai/Shenzhen
- shenweima
- sroener@comp-med, @kircherlab
- sssxie
- vahidelyasi@ImperialCollegeLondon
- WardDebFreiburg, Germany
- wzthuFred Hutchinson Cancer Research Center
- xjyx
- zengyingying2015NTU
- zhiyhuWuhan University