ArticleNPJ systems biology and applications2018
Modeling gene-regulatory networks to describe cell fate transitions and predict master regulators.
Article in NPJ systems biology and applications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Decoding transcriptional identity during neuron-astroglia cell fate driven by RAR-specific agonists.NAR molecular medicine · 2025Article
- Temporal GeneTerrain: advancing precision medicine through dynamic gene expression visualization.Frontiers in bioinformatics · 2025Article
- Topological benchmarking of algorithms to infer gene regulatory networks from single-cell RNA-seq data.Bioinformatics (Oxford, England) · 2024Article
- Synergistic activation of RARβ and RARγ nuclear receptors restores cell specialization during stem cell differentiation by hijacking RARα-controlled programs.Life science alliance · 2023Article
- A Core Transcription Regulatory Circuitry Defining Microglia Cell Identity Inferred from the Reanalysis of Multiple Human Microglia Differentiation Protocols.Brain sciences · 2021Article
- Transcriptional Regulation of Cancer Immune Checkpoints: Emerging Strategies for Immunotherapy.Vaccines · 2020Review
- Neurocardiac regulation: from cardiac mechanisms to novel therapeutic approaches.The Journal of physiology · 2020Review
- A comprehensive resource for retrieving, visualizing, and integrating functional genomics data.Life science alliance · 2020Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Complex organisms originate from and are maintained by the information encoded in the genome. A major challenge of systems biology is to develop algorithms that describe the dynamic regulation of genome functions from large omics datasets. Here, we describe TETRAMER, which reconstructs gene-regulatory networks from temporal transcriptome data during cell fate transitions to predict "master" regulators by simulating cascades of temporal transcription-regulatory events.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.