Article
Combining Supervised and Unsupervised Machine Learning Methods for Phenotypic Functional Genomics Screening.
SLAS discovery : advancing life sciences R & D - 1 Jul 2020
Omta Wienand A, van Heesbeen Roy G, Shen Ian, de Nobel Jacob, Robers Desmond, van der Velden Lieke M, Medema René H, Siebes Arno P J M, Feelders Ad J, Brinkkemper Sjaak, Klumperman Judith S, Spruit Marco René, Brinkhuis Matthieu J S, Egan David A
Abstract excerpt
There has been an increase in the use of machine learning and artificial intelligence (AI) for the analysis of image-based cellular screens. The accuracy of these analyses, however, is greatly dependent on the quality of the training sets used for building the machine learning models. We propose that unsupervised exploratory methods should first be applied to the data set to gain a better insight into the quality...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.