q-Diffusion leverages the full dimensionality of gene coexpression in single-cell transcriptomics
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Citation:
Commun Biol vol 7
Year:
2024
Type:
Manuscript
Funding:
NCTN
Endpoint:
Secondary-not-in-original
Analysis:
Primary
Data Sharing:
Alliance-data-source,-external-user
Status:
Presented/Published
Citation Status:
epub
Note:
Methodological:
No
Biospecimen:
No
SDC:
No
Book Volume:
Parents:
None
Children:
None
Program:
OGC
Primary Committee:
GI
Sec. Committees:
   
Pharmas:
 
Grants:
U10CA180821 and U10CA180882 (to the Alliance for Clinical Trials in Oncology), P30CA014089, UG1CA180830 and U10CA180888 (SWOG), Ming Hsieh research fund, and Defense Advanced Research Projects Agency (DARPA) and Army Research Office (ARO) under Contract No. W911NF-21-C-0002  
Corr. Author:
 
Authors:
                   
Networks:
CA011, CA136   
Study
Alliance-A152001
Multiple Studies, or Legacy Studies in Alliance Study:
CALGB-80405
Phases:
N/A, 3
Keywords:
Machine learning, Statistical methods, Predictive markers, Transcriptomics, Predictive medicine