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Paul Geeleher

University Of Chicago

$5,367,404
Attributed
$5,367,404
Total exposure
4
Grants
4
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. They are the sole PI on all grants (the two match).

Funding over time

peak $1.2M · FY201825
$2M$1.5M$1M$500K$0
'18
'19
'20
'21
'22
'23
'24
'25

Funding mix

By agency

NIH$5,367,404 · 4

By mechanism

R01$2,360,075 · 1
R35$2,183,749 · 1
R00$738,983 · 1
K99$84,597 · 1

Top collaborators

No co-investigators on record.

Most similar at University Of Chicago

Same institution · by research overlap

Others in their field

Other Emerging Leaders on “Data Set

Research focus

Data SetGene ExpressionComputing MethodologiesCellsProgramsTranscriptomicsGenesMalignant NeoplasmsGenetic VariationMolecularExperimental StudyGeneticGenome SequencingGenotypeDrug ScreeningFutureCancer PatientClinically ActionableClinical ResearchCancer GenomeDrug TargetingCell LineCancer Cell LineClinic

Grant awards (14)

Developing new therapeutic strategies for pediatric tumors that lack clinically actionable mutations$479,150
R01 · FY2025 · CA · contact PI
Developing new therapeutic strategies for pediatric tumors that lack clinically actionable mutations$455,194
R01 · FY2024 · CA · contact PI
Computational tools for estimating cell-type-specific effects in bulk RNA-seq and spatial transcriptomics data, using reference single-cell RNA-seq datasets$436,750
R35 · FY2024 · GM · contact PI
Developing new therapeutic strategies for pediatric tumors that lack clinically actionable mutations$469,566
R01 · FY2023 · CA · contact PI
Computational tools for estimating cell-type-specific effects in bulk RNA-seq and spatial transcriptomics data, using reference single-cell RNA-seq datasets$436,750
R35 · FY2023 · GM · contact PI
Developing new therapeutic strategies for pediatric tumors that lack clinically actionable mutations$469,566
R01 · FY2022 · CA · contact PI
Computational tools for estimating cell-type-specific effects in bulk RNA-seq and spatial transcriptomics data, using reference single-cell RNA-seq datasets$436,750
R35 · FY2022 · GM · contact PI
Developing new therapeutic strategies for pediatric tumors that lack clinically actionable mutations$486,599
R01 · FY2021 · CA · contact PI
Computational tools for estimating cell-type-specific effects in bulk RNA-seq and spatial transcriptomics data, using reference single-cell RNA-seq datasets$436,750
R35 · FY2021 · GM · contact PI
Novel computational approaches for pharmacogenomic discovery$243,652
R00 · FY2021 · HG · contact PI
Computational tools for estimating cell-type-specific effects in bulk RNA-seq and spatial transcriptomics data, using reference single-cell RNA-seq datasets$436,749
R35 · FY2020 · GM · contact PI
Novel computational approaches for pharmacogenomic discovery$246,364
R00 · FY2020 · HG · contact PI
Novel computational approaches for pharmacogenomic discovery$248,967
R00 · FY2019 · HG · contact PI
Novel computational approaches for pharmacogenomic discovery$84,597
K99 · FY2018 · HG · contact PI