ArticleNucleic acids research2011
PILGRM: an interactive data-driven discovery platform for expert biologists.
Article in Nucleic acids research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed, 25 citations in OpenAlex.
- A comparative approach for selecting orthologous candidate genes in genome-wide association studies across multiple species.Plant physiology · 2026Article
- Using genome-wide expression compendia to study microorganisms.Computational and structural biotechnology journal · 2022Review
- NewG3 (Bethesda, Md.) · 2019Article
- Machine Learning Analysis IdentifiesG3 (Bethesda, Md.) · 2017Article
- Big Data Bioinformatics.Methods (San Diego, Calif.) · 2016Article
- Turning publicly available gene expression data into discoveries using gene set context analysis.Nucleic acids research · 2016Article
- Recent Advances and Emerging Applications in Text and Data Mining for Biomedical Discovery.Briefings in bioinformatics · 2016Review
- COMPUTATIONAL APPROACHES TO STUDY MICROBES AND MICROBIOMES.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2016Article
- Implications of Big Data for cell biology.Molecular biology of the cell · 2015Article
- Big data bioinformatics.Journal of cellular physiology · 2014Review
- Article
- Ontology-aware classification of tissue and cell-type signals in gene expression profiles across platforms and technologies.Bioinformatics (Oxford, England) · 2013Article
- Functional knowledge transfer for high-accuracy prediction of under-studied biological processes.PLoS computational biology · 2013Article
- Combining heterogeneous data sources for accurate functional annotation of proteins.BMC bioinformatics · 2013Article
- Accurate evaluation and analysis of functional genomics data and methods.Annals of the New York Academy of Sciences · 2012Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
PILGRM (the platform for interactive learning by genomics results mining) puts advanced supervised analysis techniques applied to enormous gene expression compendia into the hands of bench biologists. This flexible system empowers its users to answer diverse biological questions that are often outside of the scope of common databases in a data-driven manner. This capability allows domain experts to quickly and easily generate hypotheses about biological processes, tissues or diseases of interest. Specifically PILGRM helps biologists generate these hypotheses by analyzing the expression levels of known relevant genes in large compendia of microarray data. Because PILGRM is data-driven, it complements a user's knowledge and literature analysis with mining of diverse functional genomic data, thereby generating novel predictions that can drive experimental follow-up. This server is free, does not require registration and is available for use at http://pilgrm.princeton.edu.
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.