McDowell, Ian C <br/><br/>
Clustering gene expression time series data using an infinite Gaussian process mixture model.  [electronic resource] 

 -  PLoS computational biology  01 2018 
 - e1005896 p.  digital 
<br/><br/> Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S. 
<br/><br/><label>ISSN: </label>1553-7358 
<br/><br/><label>Standard No.: </label>10.1371/journal.pcbi.1005896  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>A549 Cells<br/>Algorithms<br/>Cell Line, Tumor<br/>Cluster Analysis<br/>Computational Biology<br/>Computer Simulation<br/>Dexamethasone--chemistry<br/>Gene Expression Profiling<br/>Gene Expression Regulation, Neoplastic<br/>Glucocorticoids--chemistry<br/>Histones--chemistry<br/>Humans<br/>Hydrogen Bonding<br/>Hydrogen Peroxide--chemistry<br/>Lung Neoplasms--drug therapy<br/>Models, Biological<br/>Normal Distribution<br/>Oligonucleotide Array Sequence Analysis<br/>Sequence Analysis, RNA<br/>Time Factors<br/>Transcription Factors--chemistry