Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Zacharias Papadovasilakis"'
Autor:
Athina Varveri, Miranta Papadopoulou, Zacharias Papadovasilakis, Ewoud B. Compeer, Aigli-Ioanna Legaki, Anastasios Delis, Vasileia Damaskou, Louis Boon, Sevasti Papadogiorgaki, Martina Samiotaki, Periklis G. Foukas, Aristides G. Eliopoulos, Aikaterini Hatzioannou, Themis Alissafi, Michael L. Dustin, Panayotis Verginis
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-19 (2024)
Abstract Cancer-associated fibroblasts (CAFs) have emerged as a dominant non-hematopoietic cell population in the tumour microenvironment, serving diverse functions in tumour progression. However, the mechanisms via which CAFs influence the anti-tumo
Externí odkaz:
https://doaj.org/article/20c6a34cb32d4f2c9969269efdd18ddb
Publikováno v:
IEEE/ACM transactions on computational biology and bioinformatics. 19(2)
Feature selection for predictive analytics is the problem of identifying a minimal-size subset of features that is maximally predictive of an outcome of interest. To apply to molecular data, feature selection algorithms need to be scalable to tens of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2b626fa98b4bfbf73d00f170cbde1c0
https://pubmed.ncbi.nlm.nih.gov/33035156
https://pubmed.ncbi.nlm.nih.gov/33035156
BackgroundFeature selection seeks to identify a minimal-size subset of features that is maximally predictive of the outcome of interest. It is particularly important for biomarker discovery from high-dimensional molecular data, where the features cou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6749a000b80b126866b9cfb1c0172fe
https://doi.org/10.1101/431734
https://doi.org/10.1101/431734
