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Su-In Lee

Showing results (1-10 of 96) with videos related to

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Genome Biology|November 13, 2003
Application of independent component analysis to microarraysSu-In Lee, Serafim Batzoglou
Journal of Microbiology and Biotechnology|April 21, 2026
Optimization of Cultivation Parameters for Scale-Up Production of <i>Streptomyces recifensis</i> SN1E1Su In Lee, Youn-Sig Kwak
Lancet (London, England)|February 24, 2024
The clinical potential of counterfactual AI modelsSu-In Lee, Eric J Topol
Frontiers in Genetics|January 12, 2019
Associations Between Genetic Data and Quantitative Assessment of Normal Facial AsymmetrySara Rolfe, Su-In Lee, Linda Shapiro
Nature Methods|August 7, 2023
Isolating salient variations of interest in single-cell data with contrastiveVIEthan Weinberger, Chris Lin, Su-In Lee
Nature Communications|August 3, 2022
Explaining a series of models by propagating Shapley valuesHugh Chen, Scott M Lundberg, Su-In Lee
Nucleic Acids Research|March 15, 2019
AIControl: replacing matched control experiments with machine learning improves ChIP-seq peak identificationNaozumi Hiranuma, Scott M Lundberg, Su-In Lee
Nature Reviews Bioengineering|April 24, 2026
Transparency of medical artificial intelligence systemsChanwoo Kim, Soham U Gadgil, Su-In Lee
NAR Genomics and Bioinformatics|June 30, 2022
An automatic integrative method for learning interpretable communities of biological pathwaysNicasia Beebe-Wang, Ayse B Dincer, Su-In Lee
Journal of Applied Microbiology|October 3, 2024
Genome analysis of Streptomyces recifensis SN1E1 to investigate mechanisms for inhibiting fire blight diseaseSu In Lee, Da-Ran Kim, Youn-Sig Kwak
Pageof 10

Showing results (1-10 of 96) with videos related to

Sort By:
Pageof 10
Genome Biology|November 13, 2003
Application of independent component analysis to microarraysSu-In Lee, Serafim Batzoglou
Journal of Microbiology and Biotechnology|April 21, 2026
Optimization of Cultivation Parameters for Scale-Up Production of <i>Streptomyces recifensis</i> SN1E1Su In Lee, Youn-Sig Kwak
Lancet (London, England)|February 24, 2024
The clinical potential of counterfactual AI modelsSu-In Lee, Eric J Topol
Frontiers in Genetics|January 12, 2019
Associations Between Genetic Data and Quantitative Assessment of Normal Facial AsymmetrySara Rolfe, Su-In Lee, Linda Shapiro
Nature Methods|August 7, 2023
Isolating salient variations of interest in single-cell data with contrastiveVIEthan Weinberger, Chris Lin, Su-In Lee
Nature Communications|August 3, 2022
Explaining a series of models by propagating Shapley valuesHugh Chen, Scott M Lundberg, Su-In Lee
Nucleic Acids Research|March 15, 2019
AIControl: replacing matched control experiments with machine learning improves ChIP-seq peak identificationNaozumi Hiranuma, Scott M Lundberg, Su-In Lee
Nature Reviews Bioengineering|April 24, 2026
Transparency of medical artificial intelligence systemsChanwoo Kim, Soham U Gadgil, Su-In Lee
NAR Genomics and Bioinformatics|June 30, 2022
An automatic integrative method for learning interpretable communities of biological pathwaysNicasia Beebe-Wang, Ayse B Dincer, Su-In Lee
Journal of Applied Microbiology|October 3, 2024
Genome analysis of Streptomyces recifensis SN1E1 to investigate mechanisms for inhibiting fire blight diseaseSu In Lee, Da-Ran Kim, Youn-Sig Kwak
Pageof 10