Ashlock, Wendy <br/><br/>
Distinguishing endogenous retroviral LTRs from SINE elements using features extracted from evolved side effect machines.  [electronic resource] 

 -  IEEE/ACM transactions on computational biology and bioinformatics   
 - 1676-89 p.  digital 
<br/><br/> Publication Type: Journal Article; Research Support, Non-U.S. Gov't 
<br/><br/><label>ISSN: </label>1557-9964 
<br/><br/><label>Standard No.: </label>10.1109/TCBB.2012.116  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Algorithms<br/>Artificial Intelligence<br/>Cluster Analysis<br/>Computational Biology--methods<br/>DNA Transposable Elements--genetics<br/>Humans<br/>Retroviridae--genetics<br/>Short Interspersed Nucleotide Elements<br/>Terminal Repeat Sequences