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...
שמור ב:
| Principais autores: | , , |
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| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Public Library of Science (PLoS)
2021-04-01
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| סדרה: | PLoS Computational Biology |
| גישה מקוונת: | https://doi.org/10.1371/journal.pcbi.1008878 |
| תגים: |
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