Klein, Hans-Ulrich <br/><br/>
Bayesian integrative analysis of epigenomic and transcriptomic data identifies Alzheimer's disease candidate genes and networks.  [electronic resource] 

 -  PLoS computational biology  04 2020 
 - e1007771 p.  digital 
<br/><br/> Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't 
<br/><br/><label>ISSN: </label>1553-7358 
<br/><br/><label>Standard No.: </label>10.1371/journal.pcbi.1007771  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Algorithms<br/>Alzheimer Disease--genetics<br/>Bayes Theorem<br/>Case-Control Studies<br/>Cell Differentiation--genetics<br/>Computational Biology--methods<br/>Databases, Genetic<br/>Epigenomics--methods<br/>Gene Expression Profiling--methods<br/>Gene Regulatory Networks--genetics<br/>Humans<br/>Transcriptome--genetics