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Article

Mixed Effects Machine Learning Models for Colon Cancer Metastasis Prediction using Spatially Localized Immuno-Oncology Markers

2021-08-02

Abstract excerpt

Spatially resolved characterization of the transcriptome and proteome promises to provide further clarity on cancer pathogenesis and etiology, which may inform future clinical practice through classifier development for clinical outcomes. However, batch effects may potentially obscure the ability of machine learning methods to derive complex associations within spatial omics data. Profiling thirty-five stage three...

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Literature Corpus work
7238de47-3d5e-5011-8f1e-5f88b4c1307d
DOI
10.1101/2021.08.01.454649
Open publication

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Mixed Effects Machine Learning Models for Colon Cancer Metastasis Prediction using Spatially Localized Immuno-Oncology MarkersDOI 10.1101/2021.08.01.454649
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