← Leaderboards
Yichao Wu
Univ Of North Carolina Chapel Hill
$1,002,723
Attributed
$2,425,832
Total exposure
2
Grants
0
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 $1.3M · FY2010–21$2M$1.5M$1M$500K$0
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Funding mix
By agency
NIH$2,425,832 · 2
By mechanism
RF1$1,261,160 · 1
R01$1,164,672 · 1
Top collaborators
- Yufeng Liu4 shared
- Alex Leow1 shared
- Liang Zhan1 shared
Most similar at Univ Of North Carolina Chapel Hill
Same institution · by research overlap
- Henry Shelton Earp$37,241,767
- Kurt M. Ribisl$35,707,733
- Hazel B Nichols$8,114,713
- Stephanie Brooke Wheeler$7,793,710
- Terry R Magnuson$26,376,223
Others in their field
Top investigators on “Learning”
- Praduman Jain · Vignet, Inc.$145,457,385
- Robert B Gagosian · Consortium For Ocean Leadership, Inc$140,113,248
- Greg Ulses · Consortium For Ocean Leadership, Inc$140,113,248
- Mary L. Disis · University Of Washington$129,059,152
- Lee Marshall Nadler · Dana-Farber Cancer Inst$124,071,843
- Charles Mattias Mountain · Association Of Universities For Research In Astronomy, Inc.$115,886,990
Research focus
LearningSamplingData SetGraphStructureBaseFlexibilityFaceGene ExpressionCancer GenomicsBioinformaticsBiologicalFamilyBiologyAnticancer ResearchDna Microarray ChipCollaborationsComplexEngineeringCancer GeneticsBiomedical ResearchBehaviorClassificationAlgorithms
Grant awards (5)
Connecting late-life depression and cognition with statistical physics based connectomics and sparse Frechet regression$1,261,160
RF1 · FY2021 · MH
Flexible statistical machine learning techniques for cancer-related data$283,609
R01 · FY2014 · CA
Flexible statistical machine learning techniques for cancer-related data$274,890
R01 · FY2013 · CA
Flexible statistical machine learning techniques for cancer-related data$292,538
R01 · FY2011 · CA
Flexible statistical machine learning techniques for cancer-related data$313,635
R01 · FY2010 · CA