MiXcan: a Framework for Cell-Type-Specific Transcriptome-Wide Association Studies with an Application to Breast Cancer is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2022). On theSindex it has a DataRank of 0.126. It has been cited 1 time, with 1 citing works in its 1-hop citation network.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.104
From this paper's citation signal
Citation Network Contribution
0.0220
From 1 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 1 citer.
National Institutes of Health
Grant: 5R01CA264987-04
Radiomic and genomic predictors of breast cancer risk
National Institutes of Health
Grant: 5R01CA166827-04
Genome-Wide Association Study of Mammographic Density
European Commission
Grant: 634935
Breast Cancer Risk after Diagnostic Gene Sequencing (BRIDGES)
National Institutes of Health
Grant: 1R01CA237541-01A1
Genomic and Transcriptomic Analysis of Mammographic Density
National Institutes of Health
Grant: 5U19CA148065-04
Discovery Expansion and Replication
European Commission
Grant: 223175
Collaborative Oncological Gene-environment Study
European Commission
Grant: 633784
Breast CAncer STratification: understanding the determinants of risk and prognosis of molecular subtypes
Canadian Institutes of Health Research
Grant: unidentified
unidentified
National Institutes of Health
Grant: 5R01CA168893-02
Mammographic Density & Prognosis among Breast Cancer Intrinsic Subtypes
National Institutes of Health
Grant: 5U24CA210993-04
Systems Biology based Proteogenomic Translator for Cancer Marker Discovery towards Precision Medicine
Fields of Study
Sustainable Development Goals