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Selene: a PyTorch-based deep learning library for biological sequence-level data

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1038/nature11247openalex-snapshot

An integrated encyclopedia of DNA elements in the human genome

inferredcites →https://doi.org/10.1038/nature14248openalex-snapshot

Integrative analysis of 111 reference human epigenomes

inferredcites →https://doi.org/10.1038/nature14539openalex-snapshot

Deep learning

inferredcites →https://doi.org/10.1038/nature25978openalex-snapshot

Planning chemical syntheses with deep neural networks and symbolic AI

inferredcites →https://doi.org/10.1038/nbt.3300openalex-snapshot

Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning

inferredcites →https://doi.org/10.1038/nmeth.3547openalex-snapshot

Predicting effects of noncoding variants with deep learning–based sequence model

inferredcites →https://doi.org/10.1038/nn.4587openalex-snapshot

A common haplotype lowers PU.1 expression in myeloid cells and delays onset of Alzheimer's disease

inferredcites →https://doi.org/10.1038/s41588-018-0167-zopenalex-snapshot

Predicting the clinical impact of human mutation with deep neural networks

inferredcites →https://doi.org/10.1038/tp.2014.2openalex-snapshot

Follow-up of loci from the International Genomics of Alzheimer’s Disease Project identifies TRIP4 as a novel susceptibility gene

inferredcites →https://doi.org/10.1093/bib/bbw068openalex-snapshot

Deep learning in bioinformatics

inferredcites →https://doi.org/10.1093/bioinformatics/btp352openalex-snapshot

The Sequence Alignment/Map format and SAMtools

inferredcites →https://doi.org/10.1093/bioinformatics/btq671openalex-snapshot

Tabix: fast retrieval of sequence features from generic TAB-delimited files

inferredcites →https://doi.org/10.1093/bioinformatics/bty222openalex-snapshot

pysster: classification of biological sequences by learning sequence and structure motifs with convolutional neural networks

inferredcites →https://doi.org/10.1093/nar/gkw226openalex-snapshot

DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences

inferredcites →https://doi.org/10.1093/nar/gkw983openalex-snapshot

Cistrome Data Browser: a data portal for ChIP-Seq and chromatin accessibility data in human and mouse

inferredcites →https://doi.org/10.1098/rsif.2017.0387openalex-snapshot

Opportunities and obstacles for deep learning in biology and medicine

inferredcites →https://doi.org/10.1101/375345openalex-snapshot

Kipoi: accelerating the community exchange and reuse of predictive models for genomics

inferredcites →https://doi.org/10.1101/gr.200535.115openalex-snapshot

Basset: learning the regulatory code of the accessible genome with deep convolutional neural networks

inferredcites →https://doi.org/10.1101/gr.227819.117openalex-snapshot

Sequential regulatory activity prediction across chromosomes with convolutional neural networks

inferredcites →https://doi.org/10.1186/s13059-017-1189-zopenalex-snapshot

DeepCpG: accurate prediction of single-cell DNA methylation states using deep learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1016/j.neucom.2021.04.052openalex-snapshot

Circular Complement Network for RGB-D Salient Object Detection

inferred← citeshttps://doi.org/10.1038/s41467-020-17155-yopenalex-snapshot

Deep learning for genomics using Janggu

inferred← citeshttps://doi.org/10.20944/preprints201904.0027.v1openalex-snapshot

The Pipeline of Processing fMRI Data with Python Based on the Ecosystem NeuroDebian

inferred← citeshttps://doi.org/10.20944/preprints201904.0027.v2openalex-snapshot

The Pipeline of Processing fMRI Data with Python Based on the Ecosystem NeuroDebian

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.