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H Robert Frost

Showing results (1-10 of 54) with videos related to

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Biorxiv : the Preprint Server for Biology|April 17, 2023
Reconstruction Set Test (RESET): a computationally efficient method for single sample gene set testing based on randomized reduced rank reconstruction errorH Robert Frost
Plos Computational Biology|June 18, 2021
Analyzing cancer gene expression data through the lens of normal tissue-specificityH Robert Frost
Complex Networks & Their Applications. International Conference on Complex Networks and Their Applications|May 21, 2026
Eigenvector centrality for multilayer networks with dependent node importanceH Robert Frost
Biorxiv : the Preprint Server for Biology|April 10, 2026
Analysis of biological networks using Krylov subspace trajectoriesH Robert Frost
Biorxiv : the Preprint Server for Biology|July 15, 2025
Gene set optimization for cancer transcriptomics using sparse principal component analysisH Robert Frost
Computational Intelligence Methods for Bioinformatics and Biostatistics : ... International Meeting, CIBB ... : Revised Selected Papers. CIBB (Meeting)|June 9, 2025
Gene set optimization for single cell transcriptomicsH Robert Frost
Plos Computational Biology|April 29, 2024
Reconstruction Set Test (RESET): A computationally efficient method for single sample gene set testing based on randomized reduced rank reconstruction errorH Robert Frost
Applied Network Science|May 3, 2024
A generalized eigenvector centrality for multilayer networks with inter-layer constraints on adjacent node importanceH Robert Frost
Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|June 13, 2022
Eigenvectors from Eigenvalues Sparse Principal Component Analysis (EESPCA)H Robert Frost
Biorxiv : the Preprint Server for Biology|October 10, 2024
Leveraging cell type-specificity for gene set analysis of single cell transcriptomicsH Robert Frost
Pageof 6

Showing results (1-10 of 54) with videos related to

Sort By:
Pageof 6
Biorxiv : the Preprint Server for Biology|April 17, 2023
Reconstruction Set Test (RESET): a computationally efficient method for single sample gene set testing based on randomized reduced rank reconstruction errorH Robert Frost
Plos Computational Biology|June 18, 2021
Analyzing cancer gene expression data through the lens of normal tissue-specificityH Robert Frost
Complex Networks & Their Applications. International Conference on Complex Networks and Their Applications|May 21, 2026
Eigenvector centrality for multilayer networks with dependent node importanceH Robert Frost
Biorxiv : the Preprint Server for Biology|April 10, 2026
Analysis of biological networks using Krylov subspace trajectoriesH Robert Frost
Biorxiv : the Preprint Server for Biology|July 15, 2025
Gene set optimization for cancer transcriptomics using sparse principal component analysisH Robert Frost
Computational Intelligence Methods for Bioinformatics and Biostatistics : ... International Meeting, CIBB ... : Revised Selected Papers. CIBB (Meeting)|June 9, 2025
Gene set optimization for single cell transcriptomicsH Robert Frost
Plos Computational Biology|April 29, 2024
Reconstruction Set Test (RESET): A computationally efficient method for single sample gene set testing based on randomized reduced rank reconstruction errorH Robert Frost
Applied Network Science|May 3, 2024
A generalized eigenvector centrality for multilayer networks with inter-layer constraints on adjacent node importanceH Robert Frost
Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|June 13, 2022
Eigenvectors from Eigenvalues Sparse Principal Component Analysis (EESPCA)H Robert Frost
Biorxiv : the Preprint Server for Biology|October 10, 2024
Leveraging cell type-specificity for gene set analysis of single cell transcriptomicsH Robert Frost
Pageof 6