<p>consICA: a package for reference-free deconvolution reveals oncogenic processes in “omics” data and highlights the benefits of multimodal data analysis for patient stratification</p>

Maryna Chepeleva; Tony Kaoma; Aliaksandra Kakoichankava; Reka Toth; Petr V Nazarov

doi:10.7490/f1000research.1119396.1

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Chepeleva M, Kaoma T, Kakoichankava A et al. consICA: a package for reference-free deconvolution reveals oncogenic processes in “omics” data and highlights the benefits of multimodal data analysis for patient stratification [version 1; not peer reviewed]. F1000Research 2023, 12:306 (poster) (https://doi.org/10.7490/f1000research.1119396.1)

NOTE: it is important to ensure the information in square brackets after the title is included in this citation.

consICA: a package for reference-free deconvolution reveals oncogenic processes in “omics” data and highlights the benefits of multimodal data analysis for patient stratification

Maryna Chepeleva, Tony Kaoma, Aliaksandra Kakoichankava, Reka Toth, Petr V Nazarov¹

Published 21 Mar 2023 (https://doi.org/10.7490/f1000research.1119396.1)

Author Affiliations

¹ Department of Cancer Research, Luxembourg Institute of Health, Strassen, Luxembourg

Copyright © 2023 Chepeleva M et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Published 21 Mar 2023

consICA: a package for reference-free deconvolution reveals oncogenic processes in “omics” data and highlights the benefits of multimodal data analysis for patient stratification
[version 1; not peer reviewed]

Maryna Chepeleva, Tony Kaoma, Aliaksandra Kakoichankava, Reka Toth, Petr V Nazarov¹

Author Affiliations

¹ Department of Cancer Research, Luxembourg Institute of Health, Strassen, Luxembourg

Presented at

European Conference in Computational Biology (ECCB 2020)

Abstract

Competing Interests

No competing interests were disclosed

Keywords

deconvolution, transcriptomics, DNA methylation, patient stratification

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