Article

GIMLET: Identifying Biological Modulators in Context-Specific Gene Regulation Using Local Energy Statistics

2018-06-18

Abstract excerpt

The regulation of transcription factor activity dynamically changes across cellular conditions and disease subtypes. The identification of biological modulators contributing to context-specific gene regulation is one of the challenging tasks in systems biology, which is necessary to understand and control cellular responses across different genetic backgrounds and environmental conditions. Previous approaches for...

Topics

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

Identifiers and source

Literature Corpus work: a52ccbb6-8d8b-5ed0-b5e3-f062eb8c8b21
DOI: 10.1101/349928

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

GIMLET: Identifying Biological Modulators in Context-Specific Gene Regulation Using Local Energy StatisticsDOI 10.1101/349928Read

Summarizing internal dynamics boosts differential analysis and functional interpretation of super enhancersSemantic proximity Read

Effective regulatory relationships between genes differ from direct transcription factor-target interactions, and exhibit a distinct statistical signatureSemantic proximity Read

Joint modelling of confounding factors and prominent genetic regulators provides increased accuracy in genetical genomics studies.Semantic proximity Read

LaGrACE: Estimating gene program dysregulation using latent gene regulatory network for biomedical discoverySemantic proximity Read

A prior-based integrative framework for functional transcriptional regulatory network inference.Semantic proximity Read

Gene Expression Network Analysis (GENA) – A Biostatistical Method to Unravel Intricate Relationships Between GenesSemantic proximity Read

Methylation-mediated retuning on the enhancer-to-silencer activity scale of networked regulatory elements guides driver-gene misregulationSemantic proximity Read

Regulatory network topology and the genetic architecture of gene expressionSemantic proximity Read

Predicting mechanism of action of cellular perturbations with pathway activity signaturesSemantic proximity Read

Estimating Drivers of Cell State Transitions Using Gene Regulatory Network ModelsSemantic proximity Read

A Fast Lasso-Based Method for Inferring Higher-Order InteractionsSemantic proximity Read

Co-regulated transcripts associated to cooperating eSNPs define Bi-fan motifs in human gene networks.Semantic proximity Read