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Accurate cancer phenotype prediction with AKLIMATE, a stacked kernel learner integrating multimodal genomic data and pathway knowledge.

Advancements in sequencing have led to the proliferation of multi-omic profiles of human cells under different conditions and perturbations. In addition, many databases have amassed information about pathways and gene "signatures"-patterns of gene expression associated with specific cellular and phe...

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שמור ב:
מידע ביבליוגרפי
Principais autores: Vladislav Uzunangelov, Christopher K Wong, Joshua M Stuart
פורמט: Artigo
שפה:Inglês
יצא לאור: Public Library of Science (PLoS) 2021-04-01
סדרה:PLoS Computational Biology
גישה מקוונת:https://doi.org/10.1371/journal.pcbi.1008878
תגים: הוספת תג
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