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Article

Machine Learning Based Combination of Multi-omics Data for Subgroup Identification in Non-small Cell Lung Cancer

2022-09-15

Abstract excerpt

NSCLC is a heterogeneous disease with a poor prognosis. Identifying novel subtypes can help classify patients with similar molecular and clinical phenotypes and treatment responses. This study uses a machine learning-based approach to compress the multi-omics (mRNA, miRNA, methylation, and protein expression) NSCLC data to a lower dimensional space. This data is subjected to consensus K-means clustering to identif...

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Literature Corpus work
da82e1fb-17bc-5592-bfda-9f50a7784e30
DOI
10.21203/rs.3.rs-2043757/v1
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Machine Learning Based Combination of Multi-omics Data for Subgroup Identification in Non-small Cell Lung CancerDOI 10.21203/rs.3.rs-2043757/v1
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