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Highly Accurate Cancer Phenotype Prediction with AKLIMATE, a Stacked Kernel Learner Integrating Multimodal Genomic Data and Pathway Knowledge

2020-07-17

Abstract excerpt

Advancements in sequencing have led to the proliferation of multi-omic profiles of human cells under different conditions and perturbations. In addition, several databases have amassed information about pathways and gene “signatures” – patterns of gene expression associated with specific cellular and phenotypic contexts. An important current challenge in systems biology is to leverage such knowledge about gene coo...

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Literature Corpus work
d6dd629e-8da8-51bd-9b36-5913a507d77f
DOI
10.1101/2020.07.15.205575
Open publication

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Highly Accurate Cancer Phenotype Prediction with AKLIMATE, a Stacked Kernel Learner Integrating Multimodal Genomic Data and Pathway KnowledgeDOI 10.1101/2020.07.15.205575
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