Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Comparative Study of Transcriptomics-Based Scoring Metrics for the Epithelial-Hybrid-Mesenchymal Spectrum

20 Mar 2020

Abstract excerpt

The Epithelial-mesenchymal transition (EMT) is a cellular process implicated in embryonic development, wound healing, and pathological conditions such as cancer metastasis and fibrosis. Cancer cells undergoing EMT exhibit enhanced aggressive behavior characterized by drug resistance, tumor-initiation potential, and the ability to evade immune system. Recent in silico, in vitro, and in vivo evidence indicates that...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Cancer Cells and Metastasis
Share to Cancer-related molecular mechanisms research
Share to MicroRNA in disease regulation

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 32266244
DOI: 10.3389/fbioe.2020.00220

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Comparative Study of Transcriptomics-Based Scoring Metrics for the Epithelial-Hybrid-Mesenchymal SpectrumPMID 32266244Read ↗

Comparative study of transcriptomics-based scoring metrics for the epithelial-hybrid-mesenchymal spectrumSemantic proximity Read ↗

Testing the Gene Expression Classification of the EMT SpectrumSemantic proximity Read ↗

Testing the gene expression classification of the EMT spectrum.Semantic proximity Read ↗

Survival Outcomes in Cancer Patients Predicted by a Partial EMT Gene Expression Scoring MetricSemantic proximity Read ↗

Transcriptomic-Based Quantification of the Epithelial-Hybrid-Mesenchymal Spectrum across Biological ContextsSemantic proximity Read ↗

Transcriptomic-based quantification of the epithelial-hybrid-mesenchymal spectrum across biological contextsSemantic proximity Read ↗

Integrative Transcriptomic Analysis Reveals a Multiphasic Epithelial–Mesenchymal Spectrum in Cancer and Non-tumorigenic CellsSemantic proximity Read ↗

Hybrid epithelial/mesenchymal phenotype(s): The 'fittest' for metastasis?Semantic proximity Read ↗

Mass Cytometric and Transcriptomic Profiling of Epithelial-Mesenchymal Transitions in Human Mammary Cell LinesSemantic proximity Read ↗

EMTome: a resource for pan-cancer analysis of epithelial-mesenchymal transition genes and signaturesSemantic proximity Read ↗

Genomic and microenvironmental heterogeneity shaping epithelial-to-mesenchymal trajectories in cancer.Semantic proximity Read ↗

Emerging Concepts of Hybrid Epithelial-to-Mesenchymal Transition in Cancer ProgressionSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.