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

Defining diversity, specialization, and gene specificity in transcriptomes through information theory.

Proceedings of the National Academy of Sciences of the United States of America - 15 Jul 2008

Martínez Octavio, Reyes-Valdés M Humberto

Abstract excerpt

The transcriptome is a set of genes transcribed in a given tissue under specific conditions and can be characterized by a list of genes with their corresponding frequencies of transcription. Transcriptome changes can be measured by counting gene tags from mRNA libraries or by measuring light signals in DNA microarrays. In any case, it is difficult to completely comprehend the global changes that occur in the...

Read the complete abstract on PubMed

Topics

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

Share to Entropy
Share to Gene Expression Profiling

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Frequency

Share to Genetic Variation

Share to Information Theory

Share to Terminology as Topic

Share to Tissue Distribution

Source

Open in PubMed Open full text

Identifiers

PMID: 18606989
DOI: 10.1073/pnas.0803479105
PMCID: PMC2443819

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Defining diversity, specialization, and gene specificity in transcriptomes through information theory.PMID 18606989Read ↗

Gene specificity landscapes for comparative transcriptomic analysis across tissues, cell types, and speciesSemantic proximity Read ↗

Determining gene specificity from multivariate single-cell RNA sequencing dataSemantic proximity Read ↗

An information content principle explains regulatory patterns of gene expression across human tissuesSemantic proximity Read ↗

Cancer Reduces Transcriptome SpecializationSemantic proximity Read ↗

Perplexity as a Metric for Isoform Diversity in the Human TranscriptomeSemantic proximity Read ↗

Alpha diversity analysis of hepatic transcriptome reveals novel pathways in alcohol-related hepatitisSemantic proximity Read ↗

RNentropy: an entropy-based tool for the detection of significant variation of gene expression across multiple RNA-Seq experiments.Semantic proximity Read ↗

Entropy measures quantify global splicing disorders in cancer.Semantic proximity Read ↗

Assessment of dispersion metrics for estimating single-cell transcriptional variabilitySemantic proximity Read ↗

Transcriptome-wide variability in single embryonic development cells.Semantic proximity Read ↗

Differential Shannon entropy and differential coefficient of variation: alternatives and augmentations to differential expression in the search for disease-related genes.Semantic proximity Read ↗

Tissue-specificity of gene expression diverges slowly between orthologs, and rapidly between paralogsSemantic proximity Read ↗

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