LegNet: a best-in-class deep learning model for short DNA regulatory regions
Dmitry Penzar(Moscow Institute of Physics and Technology), Ivan V. Kulakovskiy(Engelhardt Institute of Molecular Biology), Daria Nogina(Lomonosov Moscow State University), G. A. Meshcheryakov(SIB Swiss Institute of Bioinformatics), Carl G. de Boer(University of British Columbia), Arsenii Zinkevich(Lomonosov Moscow State University), Abdul Muntakim Rafi(University of British Columbia Hospital), Andrey Lando(Yandex (Russia)), Elizaveta Noskova(Lomonosov Moscow State University)
Cited by 46
Related Papers
Defining T Cell States Associated with Response to Checkpoint Immunotherapy in Melanoma
|Cell|2018|2k
HOCOMOCO: towards a complete collection of transcription factor binding models for human and mouse via large-scale ChIP-Seq analysis
|Nucleic Acids Research|2017|1.1k
HOCOMOCO: expansion and enhancement of the collection of transcription factor binding sites models
|Nucleic Acids Research|2015|253
HOCOMOCO: a comprehensive collection of human transcription factor binding sites models
|Nucleic Acids Research|2012|245