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Samson H Fong

Showing results (1-10 of 10) with videos related to

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Cancer Research|December 16, 2021
Uncovering Tumorigenesis Circuitry with Combinatorial CRISPRSamson H Fong, Brenton P Munson, Trey Ideker
Cell Systems|April 26, 2019
Strategies for Network GWAS Evaluated Using Classroom Crowd ScienceSamson H Fong, Daniel E Carlin, Kivilcim Ozturk, et al.
Cell Systems|October 25, 2019
Strategies for Network GWAS Evaluated Using Classroom Crowd ScienceSamson H Fong, Daniel E Carlin, Kivilcim Ozturk, et al.
Iscience|June 8, 2019
A Fast and Flexible Framework for Network-Assisted Genomic AssociationDaniel E Carlin, Samson H Fong, Yue Qin, et al.
Cancer Cell|October 23, 2020
Predicting Drug Response and Synergy Using a Deep Learning Model of Human Cancer CellsBrent M Kuenzi, Jisoo Park, Samson H Fong, et al.
Cell Systems|March 18, 2019
DDOT: A Swiss Army Knife for Investigating Data-Driven Biological OntologiesMichael Ku Yu, Jianzhu Ma, Keiichiro Ono, et al.
Nature Cancer|July 5, 2021
Few-shot learning creates predictive models of drug response that translate from high-throughput screens to individual patientsJianzhu Ma, Samson H Fong, Yunan Luo, et al.
Nature Genetics|January 20, 2025
Author Correction: A multilineage screen identifies actionable synthetic lethal interactions in human cancersSamson H Fong, Brent M Kuenzi, Nicole M Mattson, et al.
Nature Genetics|November 18, 2024
A multilineage screen identifies actionable synthetic lethal interactions in human cancersSamson H Fong, Brent M Kuenzi, Nicole M Mattson, et al.
Scientific Reports|May 11, 2023
Multimodal perturbation analyses of cyclin-dependent kinases reveal a network of synthetic lethalities associated with cell-cycle regulation and transcriptional regulationKyle Ford, Brenton P Munson, Samson H Fong, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Cancer Research|December 16, 2021
Uncovering Tumorigenesis Circuitry with Combinatorial CRISPRSamson H Fong, Brenton P Munson, Trey Ideker
Cell Systems|April 26, 2019
Strategies for Network GWAS Evaluated Using Classroom Crowd ScienceSamson H Fong, Daniel E Carlin, Kivilcim Ozturk, et al.
Cell Systems|October 25, 2019
Strategies for Network GWAS Evaluated Using Classroom Crowd ScienceSamson H Fong, Daniel E Carlin, Kivilcim Ozturk, et al.
Iscience|June 8, 2019
A Fast and Flexible Framework for Network-Assisted Genomic AssociationDaniel E Carlin, Samson H Fong, Yue Qin, et al.
Cancer Cell|October 23, 2020
Predicting Drug Response and Synergy Using a Deep Learning Model of Human Cancer CellsBrent M Kuenzi, Jisoo Park, Samson H Fong, et al.
Cell Systems|March 18, 2019
DDOT: A Swiss Army Knife for Investigating Data-Driven Biological OntologiesMichael Ku Yu, Jianzhu Ma, Keiichiro Ono, et al.
Nature Cancer|July 5, 2021
Few-shot learning creates predictive models of drug response that translate from high-throughput screens to individual patientsJianzhu Ma, Samson H Fong, Yunan Luo, et al.
Nature Genetics|January 20, 2025
Author Correction: A multilineage screen identifies actionable synthetic lethal interactions in human cancersSamson H Fong, Brent M Kuenzi, Nicole M Mattson, et al.
Nature Genetics|November 18, 2024
A multilineage screen identifies actionable synthetic lethal interactions in human cancersSamson H Fong, Brent M Kuenzi, Nicole M Mattson, et al.
Scientific Reports|May 11, 2023
Multimodal perturbation analyses of cyclin-dependent kinases reveal a network of synthetic lethalities associated with cell-cycle regulation and transcriptional regulationKyle Ford, Brenton P Munson, Samson H Fong, et al.
Pageof 1