ReviewInternational journal of molecular sciences2020
Differential Co-Expression Analyses Allow the Identification of Critical Signalling Pathways Altered during Tumour Transformation and Progression.
Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Network medicine approaches for identification of novel prognostic systems biomarkers and drug candidates for papillary thyroid carcinoma.Journal of cellular and molecular medicine · 2023Pooled it
- Artificial Intelligence as a Discovery Engine for Routine Molecular Techniques: Extracting Biological Insight from Western Blotting, ELISA, Immunostaining, and Immunoprecipitation.Cell biochemistry and biophysics · 2026Review
- Analyzing Co-expression Networks with Network Skeleton Extraction.Research square · 2026Article
- DDR2-COL11A1 Transcriptional Coupling as a Candidate Therapeutic Target in Colorectal Cancer: Integrative Transcriptomic and Deep Learning Validation.International journal of molecular sciences · 2026Article
- GEPIA3: Enhanced drug sensitivity and interaction network analysis for cancer research.Nucleic acids research · 2025Article
- DRaCOon: a novel algorithm for pathway-level differential co-expression analysis in transcriptomics.BMC bioinformatics · 2025Article
- Accelerating crop improvement via integration of transcriptome-based network biology and genome editing.Planta · 2025Review
- Zinc finger protein 800 (ZNF800) promotes proliferation and migration of lower-grade glioma and is associated with immune infiltration.PloS one · 2025Article
- Fine construction of gene coexpression network analysis using GTOM and RECODE detected a critical module of neuroblastoma stages 4 and 4S.Hereditas · 2024Article
- Differential network analysis reveals the key role of the ECM-receptor pathway inMolecular therapy. Nucleic acids · 2024Article
- Transcriptomics and epigenetic data integration learning module on Google Cloud.Briefings in bioinformatics · 2024Article
- Patient-specific analysis of co-expression to measure biological network rewiring in individuals.Life science alliance · 2024Article
- Identifying Lymph Node Metastasis-Related Factors in Breast Cancer Using Differential Modular and Mutational Structural Analysis.Interdisciplinary sciences, computational life sciences · 2023Article
- Differential co-expression network analysis elucidated genes associated with sensitivity to farnesyltransferase inhibitor and prognosis of acute myeloid leukemia.Cancer medicine · 2023Article
- Debiased personalized gene coexpression networks for population-scale scRNA-seq data.Genome research · 2023Article
- Identification of Spatial Proteomic Signatures of Colon Tumor Metastasis: A Digital Spatial Profiling Approach.The American journal of pathology · 2023Article
- Dozer: Debiased personalized gene co-expression networks for population-scale scRNA-seq data.bioRxiv : the preprint server for biology · 2023Article
- Identification of stromal cell proportion-related genes in the breast cancer tumor microenvironment using CorDelSFS feature selection: implications for tumor progression and prognosis.Frontiers in genetics · 2023Article
- Exploring the relationship between abnormally high expression ofFrontiers in oncology · 2023Article
- Contrast subgraphs allow comparing homogeneous and heterogeneous networks derived from omics data.GigaScience · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Biological systems respond to perturbations through the rewiring of molecular interactions, organised in gene regulatory networks (GRNs). Among these, the increasingly high availability of transcriptomic data makes gene co-expression networks the most exploited ones.
Indexed as
Identifiers
What OpenQuestion holds
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.