Systematic analysis of global features and model building for recognition of antimicrobial peptides

2013 IEEE 3rd International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2013

Volumn , Issue , 2013, Pages

  Randou, Elena G ^a   Veltri, Daniel ^b   Shehu, Amarda ^a,b,c  

^a Department of Mathematical Sciences ^*  (United States)

^b School of Systems Biology   (United States)

^c George Mason University   (United States)

Author keywords

AMPs; logistic regression models; Recognition of antimicrobial peptides; statistical significance testing

Indexed keywords

AMPS; ANTI-MICROBIAL ACTIVITY; ANTIMICROBIAL PEPTIDE; BACTERIAL RESISTANCE; CLASSIFICATION POWER; COMPUTATIONAL RESEARCHES; LOGISTIC REGRESSION MODELS; STATISTICAL SIGNIFICANCE;

MATHEMATICAL MODELS; PEPTIDES; REGRESSION ANALYSIS;

RESEARCH;

EID: 84889074285     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCABS.2013.6629215     Document Type: Conference Paper

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