Article

Interpretable and Accurate Prediction Models for Metagenomics Data

2018-09-07

Abstract excerpt

<h4>ABSTRACT</h4> Biomarker discovery using metagenomic data is becoming more prevalent for patient diagnosis, prognosis and risk evaluation. Selected groups of microbial features provide signatures that characterize host disease states such as cancer or cardio-metabolic diseases. Yet, the current predictive models stemming from machine learning still behave as black boxes. Moreover, they seldom generalize well w...

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Literature Corpus work: bb96d5ef-ea01-548a-bc30-4af5c7177396
DOI: 10.1101/409144

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