- Home
- Publications
- Publication Search
- Publication Details
Title
Selene: a PyTorch-based deep learning library for sequence data
Authors
Keywords
-
Journal
NATURE METHODS
Volume 16, Issue 4, Pages 315-318
Publisher
Springer Nature
Online
2019-03-29
DOI
10.1038/s41592-019-0360-8
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- pysster: classification of biological sequences by learning sequence and structure motifs with convolutional neural networks
- (2018) Stefan Budach et al. BIOINFORMATICS
- Sequential regulatory activity prediction across chromosomes with convolutional neural networks
- (2018) David R. Kelley et al. GENOME RESEARCH
- Opportunities and obstacles for deep learning in biology and medicine
- (2018) Travers Ching et al. Journal of the Royal Society Interface
- Predicting the clinical impact of human mutation with deep neural networks
- (2018) Laksshman Sundaram et al. NATURE GENETICS
- Planning chemical syntheses with deep neural networks and symbolic AI
- (2018) Marwin H. S. Segler et al. NATURE
- A common haplotype lowers PU.1 expression in myeloid cells and delays onset of Alzheimer's disease
- (2017) Kuan-lin Huang et al. NATURE NEUROSCIENCE
- Basset: learning the regulatory code of the accessible genome with deep convolutional neural networks
- (2016) David R. Kelley et al. GENOME RESEARCH
- Cistrome Data Browser: a data portal for ChIP-Seq and chromatin accessibility data in human and mouse
- (2016) Shenglin Mei et al. NUCLEIC ACIDS RESEARCH
- DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences
- (2016) Daniel Quang et al. NUCLEIC ACIDS RESEARCH
- Integrative analysis of 111 reference human epigenomes
- (2015) Anshul Kundaje et al. NATURE
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning
- (2015) Babak Alipanahi et al. NATURE BIOTECHNOLOGY
- Predicting effects of noncoding variants with deep learning–based sequence model
- (2015) Jian Zhou et al. NATURE METHODS
- Follow-up of loci from the International Genomics of Alzheimer’s Disease Project identifies TRIP4 as a novel susceptibility gene
- (2014) A Ruiz et al. Translational Psychiatry
- Tabix: fast retrieval of sequence features from generic TAB-delimited files
- (2011) H. Li BIOINFORMATICS
- The Sequence Alignment/Map format and SAMtools
- (2009) H. Li et al. BIOINFORMATICS
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started