Article

ANANSE: An enhancer network-based computational approach for predicting key transcription factors in cell fate determination

2020-06-06

Abstract excerpt

Proper cell fate determination is largely orchestrated by complex gene regulatory networks centered around transcription factors. However, experimental elucidation of key transcription factors that drive cellular identity is currently often intractable. Here, we present ANANSE ( AN alysis A lgorithm for N etworks S pecified by E nhancers), a network-based method that exploits enhancer-encoded regulatory infor...

Topics

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

Identifiers and source

Literature Corpus work: 2ab8be7b-3e7e-54e0-8e60-bcf9d3b8ae99
DOI: 10.1101/2020.06.05.135798

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

ANANSE: An enhancer network-based computational approach for predicting key transcription factors in cell fate determinationDOI 10.1101/2020.06.05.135798Read

Complexity of enhancer networks predicts cell identity and disease genes revealed by single-cell multi-omics analysisSemantic proximity Read

SCENIC+: single-cell multiomic inference of enhancers and gene regulatory networksSemantic proximity Read

Improving prediction of core transcription factors for cell reprogramming and transdifferentiationSemantic proximity Read

Regulatory network hubs guide dynamic human lineage specificationSemantic proximity Read

EAGLE: an algorithm that utilizes a small number of genomic features to predict tissue/cell type-specific enhancer-gene interactionsSemantic proximity Read

EnhancerTracker: Comparing cell-type-specific enhancer activity of DNA sequence triplets via an ensemble of deep convolutional neural networksSemantic proximity Read

Comprehensive enhancer-target gene assignments improve gene set level interpretation of genome-wide regulatory dataSemantic proximity Read

Genome-wide active enhancer identification using cell type-specific signatures of epigenomic activitySemantic proximity Read

Functional enrichment of alternative splicing events with NEASE reveals insights into tissue identity and diseasesSemantic proximity Read

Super-enhancers in the control of cell identity and disease.Semantic proximity Read

Specialised super-enhancer networks in stem cells and neuronsSemantic proximity Read

BayesCNet: Bayesian inference for cell type-specific regulatory networks leveraging cell type hierarchy in single-cell dataSemantic proximity Read