Supervised latent factor modeling isolates cell-type-specific transcriptomic modules that underlie Alzheimer’s disease progression is a research paper published in Communications Biology (2024). On theSindex it has a DataRank of 0. It has been cited 7 times.
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NIA NIH HHS
Grant: P30 AG072975
NIA NIH HHS
Grant: R01 AG036836
NIA NIH HHS
Grant: U01 AG046152
NIA NIH HHS
Grant: U01 AG061356
NIA NIH HHS
Grant: P30 AG010161
NIA NIH HHS
Grant: R01 AG015819
NIA NIH HHS
Grant: R01 AG017917
NIA NIH HHS
Grant: R01 AG068563
NIDA NIH HHS
Grant: R01 DA053301
NIMH NIH HHS
Grant: R01 MH129858
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Grant: U01 AG032984
NIA NIH HHS
Grant: R01 AG030146
National Institutes of Health
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National Institutes of Health
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Alzheimer's Disease Genetics Consortium
National Institutes of Health
Grant: 3U01AG061356-02S1
Multi-omic network-directed proteoform discovery, dissection and functional validation to prioritize novel AD therapeutic targets
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SHORT-TERM STABILITY OF CLINICAL TESTS
National Institutes of Health
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Pathway discovery, validation and compound identification for Alzheimer's disease
Canadian Institutes of Health Research
Grant: unidentified
unidentified
National Institutes of Health
Grant: 5R01AG036836-03
Exploring the Role of the Brain Transcriptome in Cognitive Decline
National Institutes of Health
Grant: 5P30AG072975-02
Rush Alzheimer's Disease Research Center
National Institutes of Health
Grant: 5R01AG015819-07
Risk Factors, Pathology, and Clinical Expressions of AD
Canadian Institute of Health Research
FWCI
1.15
Citation Percentile
0.8%
Citation Trend
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