ArticleProceedings of the National Academy of Sciences of the United States of America2000
Discovering functional relationships between RNA expression and chemotherapeutic susceptibility using relevance networks.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 204 papers, 3 of them syntheses 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
204 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Statistical genomics in rare cancer.Seminars in cancer biology · 2020Pooled it
- Comprehensive meta-analysis, co-expression, and miRNA nested network analysis identifies gene candidates in citrus against Huanglongbing disease.BMC plant biology · 2015Pooled it
- Background gene expression networks significantly enhance drug response prediction by transcriptional profiling.The pharmacogenomics journal · 2012Pooled it
- Transcriptomic Challenges We Faced with Animal Models for Neurological Disorders.Current issues in molecular biology · 2026Review
- Federated causal discovery in medicine: trends, opportunities, and challenges.Frontiers in digital health · 2026Article
- CANDiT: A machine learning framework for differentiation therapy in colorectal cancer.Cell reports. Medicine · 2025Article
- Integrating imaging and omics for enhanced subtyping of mild cognitive impairment associated with Alzheimer's disease.Journal of translational medicine · 2025Article
- Genomic Fabrics of the Excretory System's Functional Pathways Remodeled in Clear Cell Renal Cell Carcinoma.Current issues in molecular biology · 2023Article
- Inferring regulators of cell identity in the human adult pancreas.NAR genomics and bioinformatics · 2023Article
- Identification of a novel gene signature for neuroblastoma differentiation using a Boolean implication network.Genes, chromosomes & cancer · 2023Article
- A multimodal deep learning model to infer cell-type-specific functional gene networks.BMC bioinformatics · 2023Article
- Deciphering anti-infectious compounds from Peruvian medicinalFrontiers in pharmacology · 2023Article
- Review
- Application of modular response analysis to medium- to large-size biological systems.PLoS computational biology · 2022Article
- Identifying large-scale interaction atlases using probabilistic graphs and external knowledge.Journal of clinical and translational science · 2022Article
- Using the co-expression network of T cell-activation-related genes to assess the disease activity in Takayasu's arteritis patients.Arthritis research & therapy · 2021Article
- IonFlow: a galaxy tool for the analysis of ionomics data sets.Metabolomics : Official journal of the Metabolomic Society · 2021Article
- Highly connected, non-redundant microRNA functional control in breast cancer molecular subtypes.Interface focus · 2021Article
- Observational
- An Early Stage Researcher's Primer on Systems Medicine Terminology.Network and systems medicine · 2021Review
144 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
5 authors.
Funding
Abstract
In an effort to find gene regulatory networks and clusters of genes that affect cancer susceptibility to anticancer agents, we joined a database with baseline expression levels of 7,245 genes measured by using microarrays in 60 cancer cell lines, to a database with the amounts of 5,084 anticancer agents needed to inhibit growth of those same cell lines. Comprehensive pair-wise correlations were calculated between gene expression and measures of agent susceptibility. Associations weaker than a threshold strength were removed, leaving networks of highly correlated genes and agents called relevance networks. Hypotheses for potential single-gene determinants of anticancer agent susceptibility were constructed. The effect of random chance in the large number of calculations performed was empirically determined by repeated random permutation testing; only associations stronger than those seen in multiply permuted data were used in clustering. We discuss the advantages of this methodology over alternative approaches, such as phylogenetic-type tree clustering and self-organizing maps.
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.