ReviewComputational and structural biotechnology journal2024
Differential gene expression analysis pipelines and bioinformatic tools for the identification of specific biomarkers: A review.
Review in Computational and structural biotechnology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers.
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Who cites it
93 citing papers in PubMed.
- Article
- HopRatio: Profiling single-sample transcriptomic dysregulation using stable gene-ordering relationships.iScience · 2026Article
- Letter to the Editor regarding "Functions of dendrobine in a zebrafish model of diabetic retinopathy".Journal of translational medicine · 2026Article
- CRISPR-Enabled functional genomics in hPSCs-derived neural models for autism spectrum disorder.Metabolic brain disease · 2026Review
- Article
- A hybrid machine learning framework with two-step feature selection for identifying key biomarkers and drug targets in monkeypox.Biochemistry and biophysics reports · 2026Article
- MicroRNA Dysregulation in HPV-Driven Cervical Cancer: A Review of Oncoprotein-Targeted Signaling Pathways.Life (Basel, Switzerland) · 2026Review
- Molecular biomarkers in diabetes-related neurological complications: current evidence and translational challenges.Acta diabetologica · 2026Review
- Article
- Bioinformatics and multi-omics approaches in male infertility: implications for diagnosis and assisted reproduction.Journal of assisted reproduction and genetics · 2026Review
- The Blood RNA Stability Atlas: defining temporal structure and trait-state programs in the human whole-blood transcriptome.bioRxiv : the preprint server for biology · 2026Article
- MagmaFlow: A desktop platform for artificial intelligence-driven expression analysis.FEBS open bio · 2026Article
- Causal effect estimation from trans-regulatory single-cell CRISPR screens.Cell genomics · 2026Review
- Complementary ROC-Derived Indices for Screening Improper Expression Profiles in RNA-Seq Differential Expression Analysis.Balkan medical journal · 2026Article
- Protein co-expression network analysis explores biological mechanisms associated with meat quality variability in broilers affected by breast myopathies: A focus on wooden breast.Poultry science · 2026Article
- Transcriptomic Meta-Analysis as a Framework for Robust Cross-Study Biological Inference.International journal of molecular sciences · 2026Review
- A phylogeny-guided framework for decoding mechanisms of human endogenous retrovirus regulation in health and disease.bioRxiv : the preprint server for biology · 2026Article
- PSD3 links autophagic flux to MHC-I-associated immune modulation in esophageal squamous cell carcinoma.Apoptosis : an international journal on programmed cell death · 2026Article
- Next-generation CD179a-CAR-T cells demonstrate potent and sustained anti-tumor activity in preclinical B-cell malignancies.Molecular biology reports · 2026Article
- Identifying omic biomarkers for chronic inflammatory diseases associated with periodontitis using percolation on multi-disease gene co-expression networks.Communications medicine · 2026Article
33 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent years, the role of bioinformatics and computational biology together with omics techniques and transcriptomics has gained tremendous importance in biomedicine and healthcare, particularly for the identification of biomarkers for precision medicine and drug discovery. Differential gene expression (DGE) analysis is one of the most used techniques for RNA-sequencing (RNA-seq) data analysis. This tool, which is typically used in various RNA-seq data processing applications, allows the identification of differentially expressed genes across two or more sample sets. Functional enrichment analyses can then be performed to annotate and contextualize the resulting gene lists. These studies provide valuable information about disease-causing biological processes and can help in identifying molecular targets for novel therapies. This review focuses on differential gene expression (DGE) analysis pipelines and bioinformatic techniques commonly used to identify specific biomarkers and discuss the advantages and disadvantages of these techniques.
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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.