ArticleGenome biology2005
Discovery of biological networks from diverse functional genomic data.
Article in Genome biology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers.
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
112 citing papers in PubMed.
- Revisiting co-expression-based automated function prediction in yeast with neural networks and updated Gene Ontology annotations.PloS one · 2026Article
- Elucidating gastric cancer mechanisms and therapeutic potential of Adociaquinone A targeting EGFR: A genomic analysis and Computer Aided Drug Design (CADD) approach.Journal of cellular and molecular medicine · 2024Article
- BIONIC: biological network integration using convolutions.Nature methods · 2022Article
- Integration of probabilistic functional networks without an external Gold Standard.BMC bioinformatics · 2022Article
- Integrated Deadenylase Genetic Association Network and Transcriptome Analysis in Thoracic Carcinomas.Molecules (Basel, Switzerland) · 2022Article
- Comparing Host Module Activation Patterns and Temporal Dynamics in Infection by Influenza H1N1 Viruses.Frontiers in immunology · 2021Article
- Responsible, practical genomic data sharing that accelerates research.Nature reviews. Genetics · 2020Review
- Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities.An international journal on information fusion · 2019Article
- REFINING CELLULAR PATHWAY MODELS USING AN ENSEMBLE OF HETEROGENEOUS DATA SOURCES.The annals of applied statistics · 2018Article
- GeneMANIA update 2018.Nucleic acids research · 2018Article
- A STATISTICAL FRAMEWORK FOR DATA INTEGRATION THROUGH GRAPHICAL MODELS WITH APPLICATION TO CANCER GENOMICS.The annals of applied statistics · 2017Article
- Toward Personalized Network Biomarkers in Alzheimer's Disease: Computing Individualized Genomic and Protein Crosstalk Maps.Frontiers in aging neuroscience · 2017Article
- A graph theoretical approach to data fusion.Statistical applications in genetics and molecular biology · 2016Article
- Recent Advances and Emerging Applications in Text and Data Mining for Biomedical Discovery.Briefings in bioinformatics · 2016Review
- Implications of Big Data for cell biology.Molecular biology of the cell · 2015Article
- IMP 2.0: a multi-species functional genomics portal for integration, visualization and prediction of protein functions and networks.Nucleic acids research · 2015Article
- MyProteinNet: build up-to-date protein interaction networks for organisms, tissues and user-defined contexts.Nucleic acids research · 2015Article
- Sequencing and beyond: integrating molecular 'omics' for microbial community profiling.Nature reviews. Microbiology · 2015Review
- Correcting positional correlations in Affymetrix® genome chips.Scientific reports · 2015Article
- Article
52 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
8 authors.
Funding
Abstract
We have developed a general probabilistic system for query-based discovery of pathway-specific networks through integration of diverse genome-wide data. This framework was validated by accurately recovering known networks for 31 biological processes in Saccharomyces cerevisiae and experimentally verifying predictions for the process of chromosomal segregation. Our system, bioPIXIE, a public, comprehensive system for integration, analysis, and visualization of biological network predictions for S. cerevisiae, is freely accessible over the worldwide web.
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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.