Interpretable and Integrative Analysis of Single-Cell Multiomics with scMKL

This repository contains a zipped version of scripts and result files generated for the scMKL paper. Included are: scMKL scripts used for specific experiments Output files combining data from bootstrapped runs Feature grouping information used in experiments Environment information to run scMKL Within the zipped folder the structure looks like: groupings #tar.gz compressed python dictionaries containing all feature groupings used in the paper scMKL_src #Source script and conda yml file for running scMKL scripts #Directory containing directories for each experiement using scMKL within each subdirectory is a script(s) and the data generated from running that script The results files are tar.gz compressed

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-01
DOI
https://doi.org/10.5281/zenodo.15397924
Citations
1
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.81
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article

Interpretable and Integrative Analysis of Single-Cell Multiomics with scMKL

1 citations
Zenodo (CERN European Organization for Nuclear Research)
Single-cell and spatial transcriptomics
0.81
article

Interpretable and Integrative Analysis of Single-Cell Multiomics with scMKL

article en
1 citations

Abstract

This repository contains a zipped version of scripts and result files generated for the scMKL paper. Included are: scMKL scripts used for specific experiments Output files combining data from bootstrapped runs Feature grouping information used in experiments Environment information to run scMKL Within the zipped folder the structure looks like: groupings #tar.gz compressed python dictionaries containing all feature groupings used in the paper scMKL_src #Source script and conda yml file for running scMKL scripts #Directory containing directories for each experiement using scMKL within each subdirectory is a script(s) and the data generated from running that script The results files are tar.gz compressed

Zenodo (CERN European Organization for Nuclear Research)
Oregon Health & Science University (US)
Openalex Percentile: Top 21%
Single-cell and spatial transcriptomics
0.81
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