Article

Latent representation of the human pan-celltype epigenome through a deep recurrent neural network

2021-03-09

Abstract excerpt

The availability of thousands of assays of epigenetic activity necessitates compressed representations of these data sets that summarize the epigenetic landscape of the genome. Until recently, most such representations were celltype specific, applying to a single tissue or cell state. Recently, neural networks have made it possible to summarize data across tissues to produce a pan-celltype representation. In this...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: f2a6d27f-2cf4-5005-90e3-a235486a01d5
DOI: 10.1101/2021.03.08.434446

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Latent representation of the human pan-celltype epigenome through a deep recurrent neural networkDOI 10.1101/2021.03.08.434446Read

Using Deep Learning to predict replication timing reveals baseline control of genomic DNA sequenceSemantic proximity Read

Jointly characterizing epigenetic dynamics across multiple human cell types.Semantic proximity Read

Hi-C-LSTM: Learning representations of chromatin contacts using a recurrent neural network identifies genomic drivers of 3D genome conformationSemantic proximity Read

Melody: Decoding the Sequence Determinants of Locus Specific DNA Methylation Across Human TissuesSemantic proximity Read

AltumAge: A Pan-Tissue DNA-Methylation Epigenetic Clock Based on Deep LearningSemantic proximity Read

Recurrent enhancer-promoter interactions across samplesSemantic proximity Read

Large-scale determination and characterization of cell type-specific regulatory elements in the human genomeSemantic proximity Read

Integrating single-cell multimodal epigenomic data using 1D-convolutional neural networksSemantic proximity Read

Universal annotation of the human genome through integration of over a thousand epigenomic datasetsSemantic proximity Read

Sequential regulatory activity prediction across chromosomes with convolutional neural networks.Semantic proximity Read

Sequential regulatory activity prediction across chromosomes with convolutional neural networksSemantic proximity Read

Harnessing machine learning models for epigenome to transcriptome association studiesSemantic proximity Read