Anguita-Ruiz, Augusto <br/><br/>
eXplainable Artificial Intelligence (XAI) for the identification of biologically relevant gene expression patterns in longitudinal human studies, insights from obesity research.  [electronic resource] 

 -  PLoS computational biology  04 2020 
 - e1007792 p.  digital 
<br/><br/> Publication Type: Journal Article; Research Support, Non-U.S. Gov't 
<br/><br/><label>ISSN: </label>1553-7358 
<br/><br/><label>Standard No.: </label>10.1371/journal.pcbi.1007792  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Algorithms<br/>Artificial Intelligence--trends<br/>Computational Biology--methods<br/>Data Mining--methods<br/>Databases, Genetic<br/>Gene Expression--genetics<br/>Gene Expression Profiling--methods<br/>Humans<br/>Longitudinal Studies<br/>Machine Learning<br/>Obesity--genetics<br/>Software<br/>Transcriptome--genetics