Ge, Li <br/><br/>
Identifying anticancer peptides by using a generalized chaos game representation.  [electronic resource] 

 -  Journal of mathematical biology  01 2019 
 - 441-463 p.  digital 
<br/><br/> Publication Type: Journal Article; Research Support, Non-U.S. Gov't 
<br/><br/><label>ISSN: </label>1432-1416 
<br/><br/><label>Standard No.: </label>10.1007/s00285-018-1279-x  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Amino Acid Sequence<br/>Animals<br/>Base Sequence<br/>Computational Biology<br/>Databases, Protein--statistics & numerical data<br/>Electron Transport Complex I--genetics<br/>Game Theory<br/>Humans<br/>Mathematical Concepts<br/>Mitochondrial Proteins--genetics<br/>Models, Biological<br/>NADH Dehydrogenase--genetics<br/>Nonlinear Dynamics<br/>Sequence Alignment--statistics & numerical data<br/>Sequence Analysis, Protein--statistics & numerical data<br/>Sequence Homology, Amino Acid<br/>Support Vector Machine<br/>Transferrin--genetics<br/>Tumor Suppressor Proteins--classification<br/>beta-Globins--genetics