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Hu Li

Mayo Clinic Rochester

$4,987,652
Attributed
$9,128,211
Total exposure
5
Grants
3
Lead (contact PI)

Attributed= this PI's even-split share of every grant they're on (the fair, additive number). Exposure = full size of all those grants.

Funding over time

peak $4.9M · FY201624
$5M$3.8M$2.5M$1.3M$0
'16
'17
'18
'19
'20
'21
'22
'23
'24

Funding mix

By agency

NIH$9,128,211 · 5

By mechanism

RF1$4,355,359 · 1
R01$4,132,052 · 2
R03$640,800 · 2

Most similar at Mayo Clinic Rochester

Same institution · by research overlap

Others in their field

Top investigators on “Genes

Research focus

GenesBaseProteinsPhenotypeSignal TransductionData SetMolecularMalignant NeoplasmsLightAlzheimer&AposCellsVariantAlgorithmsPathway InteractionsGene ExpressionDiagnosisMutationGenomeAffectGeneticGenotypeBiologicalEtiologyInnovation

Grant awards (12)

Common Fund Gene Utility Compendium: A Systems Biology Resource to Explore Tissue-Specific Functional Genes and Druggable Genomes$322,800
R03 · FY2024 · OD · contact PI
Uncovering therapeutic-associated biomarkers via machine learning and feature engineering approaches$318,000
R03 · FY2022 · OD · contact PI
Determinants of pancreatic cancer and malignant melanoma phenotypes in CDKN2A hereditary kindreds$590,577
R01 · FY2020 · CA
Capturing the molecular complexity of Alzheimer's disease through the lens of RNA binding proteins$410,947
RF1 · FY2020 · AG
Determinants of pancreatic cancer and malignant melanoma phenotypes in CDKN2A hereditary kindreds$583,253
R01 · FY2019 · CA
Capturing the molecular complexity of Alzheimer's disease through the lens of RNA binding proteins$3,944,412
RF1 · FY2018 · AG
Determinants of pancreatic cancer and malignant melanoma phenotypes in CDKN2A hereditary kindreds$601,292
R01 · FY2018 · CA
A network platform to connect drug response and prognosis phenotypes for cancers$395,911
R01 · FY2018 · CA · contact PI
Determinants of pancreatic cancer and malignant melanoma phenotypes in CDKN2A hereditary kindreds$590,577
R01 · FY2017 · CA
A network platform to connect drug response and prognosis phenotypes for cancers$395,911
R01 · FY2017 · CA · contact PI
Determinants of pancreatic cancer and malignant melanoma phenotypes in CDKN2A hereditary kindreds$578,620
R01 · FY2016 · CA
A network platform to connect drug response and prognosis phenotypes for cancers$395,911
R01 · FY2016 · CA · contact PI