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Marc Glettig

Showing results (1-10 of 6) with videos related to

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Cancer Research|November 13, 2025
CanSig Benchmarks Methods for Reproducible Cancer Cell State Discovery from Single-Cell Transcriptomic DataFlorian Barkmann, Josephine Yates, Paweł Czyż, et al.
Biorxiv : the Preprint Server for Biology|May 4, 2026
Expanding P-NET, a multi-purpose biologically informed deep learning frameworkMarc Glettig, Andrew Zhou, Chenzhang Zhou, et al.
Biorxiv : the Preprint Server for Biology|November 26, 2025
Simulation and empirical evaluation of biologically-informed neural network performanceGwen A Miller, Ahmed Roman, Marc Glettig, et al.
Machine Learning with Applications|June 29, 2026
Simulation and empirical evaluation of biologically-informed neural network performanceGwen A Miller, Ahmed Roman, Marc Glettig, et al.
Biorxiv : the Preprint Server for Biology|February 20, 2025
Clinico-genomic features predict distinct metastatic phenotypes in cutaneous melanomaTyler J Aprati, Chi-Ping Day, Daniel Lee, et al.
Science Advances|November 27, 2024
Genomic heterogeneity and ploidy identify patients with intrinsic resistance to PD-1 blockade in metastatic melanomaGiuseppe Tarantino, Cora A Ricker, Annette Wang, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Cancer Research|November 13, 2025
CanSig Benchmarks Methods for Reproducible Cancer Cell State Discovery from Single-Cell Transcriptomic DataFlorian Barkmann, Josephine Yates, Paweł Czyż, et al.
Biorxiv : the Preprint Server for Biology|May 4, 2026
Expanding P-NET, a multi-purpose biologically informed deep learning frameworkMarc Glettig, Andrew Zhou, Chenzhang Zhou, et al.
Biorxiv : the Preprint Server for Biology|November 26, 2025
Simulation and empirical evaluation of biologically-informed neural network performanceGwen A Miller, Ahmed Roman, Marc Glettig, et al.
Machine Learning with Applications|June 29, 2026
Simulation and empirical evaluation of biologically-informed neural network performanceGwen A Miller, Ahmed Roman, Marc Glettig, et al.
Biorxiv : the Preprint Server for Biology|February 20, 2025
Clinico-genomic features predict distinct metastatic phenotypes in cutaneous melanomaTyler J Aprati, Chi-Ping Day, Daniel Lee, et al.
Science Advances|November 27, 2024
Genomic heterogeneity and ploidy identify patients with intrinsic resistance to PD-1 blockade in metastatic melanomaGiuseppe Tarantino, Cora A Ricker, Annette Wang, et al.
Pageof 1