Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysis

Bioinformatics(2009)10.1093/bioinformatics/btp543Source: DataRank Database

Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysis is a research paper published in Bioinformatics (2009). On theSindex it has a DataRank of 1.0. It has been cited 884 times.

N/A

1.0DataRank · unranked

Scored on demand from live citation data

Open Access884 citations

Download PDF

Cite:

Linked data & code

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (1 grants)Impact (FWCI 2.52)OA: bronzeTopics (44)Linked Datasets (25)DataCite Reuse (25)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

1.0

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.

Learn more about DataRank methodology →

Authors (3)

Adam B. Olshen ORCID,Marc Ladanyi ORCID,Ronglai Shen ORCID

Live enrichment

PubMed:19759197 PMC:PMC2800366 OpenAlex:https://openalex.org/W4252676770

NCI NIH HHS

Grant: P30 CA008748

FWCI

2.52

Citation Percentile

0.9%

Citation Trend

2012

2013

2014

2015

2016

2017

2018

2019

2020

2021

2022

2023

2024

2025

2026

bronze

journalhttps://academic.oup.com/bioinformatics/article-pdf/25/22/2906/48997731/bioinformatics_25_22_2906.pdf

publisherhttps://academic.oup.com/bioinformatics/article-pdf/25/22/2906/48997731/bioinformatics_25_22_2906.pdf

journalhttps://doi.org/10.1093/bioinformatics/btp543

Fields of Study

Gene expression and cancer classificationBioinformatics and Genomic NetworksGenomics and Chromatin DynamicsAlgorithmsBreast NeoplasmsCluster AnalysisComputational BiologyDNA Copy Number VariationsDatabases, GeneticFemaleGene Expression ProfilingHumansLung NeoplasmsModels, Statistical

MeSH Terms

HumansBreast NeoplasmsLung NeoplasmsCluster AnalysisModels, StatisticalGene Expression ProfilingComputational BiologyAlgorithmsDatabases, GeneticFemaleDNA Copy Number Variations

Keywords

Cluster analysisComputer scienceInferenceExpectation–maximization algorithmEpigenomicsData typeCovarianceLatent variableComputational biologyData miningBiologyArtificial intelligenceGeneDNA methylationMathematicsGene expressionStatisticsMaximum likelihoodGenetics

Sustainable Development Goals

SDG 0: Good health and well-being

Additional file 1 of GMIEC: a shiny application for the identification of gene-targeted drugs for precision medicine

10.6084/m9.figshare.12940747.v1figshare

Additional file 1 of GMIEC: a shiny application for the identification of gene-targeted drugs for precision medicine

10.6084/m9.figshare.12940747figshare

Additional file 1 of Pan-cancer identification of clinically relevant genomic subtypes using outcome-weighted integrative clustering

10.6084/m9.figshare.13331844.v1figshare

Additional file 1 of Pan-cancer identification of clinically relevant genomic subtypes using outcome-weighted integrative clustering

10.6084/m9.figshare.13331844figshare

Additional file 10 of Multi-dimensional data integration algorithm based on random walk with restart

10.6084/m9.figshare.14130884.v1figshare

Additional file 10 of Multi-dimensional data integration algorithm based on random walk with restart

10.6084/m9.figshare.14130884figshare

Additional file 11 of Multi-dimensional data integration algorithm based on random walk with restart

10.6084/m9.figshare.14130887.v1figshare

Additional file 12 of Multi-dimensional data integration algorithm based on random walk with restart

10.6084/m9.figshare.14130890.v1figshare

Additional file 11 of Multi-dimensional data integration algorithm based on random walk with restart

10.6084/m9.figshare.14130887figshare

Additional file 12 of Multi-dimensional data integration algorithm based on random walk with restart

10.6084/m9.figshare.14130890figshare

Additional file 13 of Multi-dimensional data integration algorithm based on random walk with restart

10.6084/m9.figshare.14130893.v1figshare

Additional file 13 of Multi-dimensional data integration algorithm based on random walk with restart

10.6084/m9.figshare.14130893figshare

Additional file 14 of Multi-dimensional data integration algorithm based on random walk with restart

10.6084/m9.figshare.14130896.v1figshare

Additional file 14 of Multi-dimensional data integration algorithm based on random walk with restart

10.6084/m9.figshare.14130896figshare

Additional file 1 of Multi-dimensional data integration algorithm based on random walk with restart

10.6084/m9.figshare.14130899.v1figshare

Additional file 1 of Multi-dimensional data integration algorithm based on random walk with restart

10.6084/m9.figshare.14130899figshare

Additional file 2 of Multi-dimensional data integration algorithm based on random walk with restart

10.6084/m9.figshare.14130902.v1figshare

Additional file 2 of Multi-dimensional data integration algorithm based on random walk with restart

10.6084/m9.figshare.14130902figshare

Additional file 3 of Multi-dimensional data integration algorithm based on random walk with restart

10.6084/m9.figshare.14130905.v1figshare

Additional file 3 of Multi-dimensional data integration algorithm based on random walk with restart

10.6084/m9.figshare.14130905figshare

Related Papers (10)

The Cancer Genome Atlas Pan-Cancer analysis project

Top 1%

13.2DataRank

Nature Genetics(2013)

co-cited

10.1038/ng.2764

WGCNA: an R package for weighted correlation network analysis

N/A

1.5DataRank · unranked

BMC Bioinformatics(2008)

co-cited

10.1186/1471-2105-9-559

Initial genome sequencing and analysis of multiple myeloma

N/A

1.1DataRank · unranked

Nature(2011)

co-cited

10.1038/nature09837

Comprehensive genomic characterization defines human glioblastoma genes and core pathways

Top 1%

14.0DataRank

Nature(2008)

co-cited

10.1038/nature07385

Hallmarks of Cancer: The Next Generation

N/A

1.7DataRank · unranked

Cell(2011)

co-cited

10.1016/j.cell.2011.02.013

Exome Sequencing of Head and Neck Squamous Cell Carcinoma Reveals Inactivating Mutations in NOTCH1

N/A

1.1DataRank · unranked

Science(2011)

co-cited

10.1126/science.1206923

Comprehensive molecular characterization of human colon and rectal cancer

Top 1%

11.8DataRank

Nature(2012)

co-cited

10.1038/nature11252

An integrated encyclopedia of DNA elements in the human genome

Top 1%

15.3DataRank

Nature(2012)

co-cited

10.1038/nature11247

NCBI GEO: archive for functional genomics data sets—update

Top 1%

12.4DataRank

Nucleic Acids Research(2012)

co-cited

10.1093/nar/gks1193

The Mutational Landscape of Head and Neck Squamous Cell Carcinoma

N/A

1.2DataRank · unranked

Science(2011)

co-cited

10.1126/science.1208130