Article

Analysis of half a billion datapoints across ten machine-learning algorithms identify key determinants of insulin gene transcription

2021-03-29

Abstract excerpt

Machine learning (ML)-workflows enable unprejudiced/robust evaluation of complex datasets. Here, we analyzed over 490,000,000 data points to compare 10 different ML-workflows in a large (N=11,652) training dataset of human pancreatic single-cell (sc-)transcriptomes to identify genes associated with the presence or absence of insulin transcript(s). Prediction accuracy/sensitivity of each ML-workflow were tested in...

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Literature Corpus work: 979224c1-7b89-5297-beb4-069bb9c9eb63
DOI: 10.1101/2021.03.27.437353

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