BOOSTING THE PERFORMANCE OF PSEUDO AMINO ACID COMPOSITION
Küçük Resim Yok
Tarih
2011
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
AMER SOC MECHANICAL ENGINEERS
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Protein-protein interactions are critical in coordinating various cellular processes. They help understanding protein function and drug design. Extracting protein features from amino acid sequences is important in order to study protein-protein interactions. Various feature extraction approaches for proteins have been introduced up to the present. PseAAC is one of the most used protein feature extractor. In this work we purpose a new approach to calculate amino acid composition values. The purpose of our method is to adjust the weights of the composition values during feature extraction process. It means that bigger composition values will contribute more to prediction function than smaller ones. Our experimental results showed that our method outperformed PseAAC.
Açıklama
3rd International Conference on Future Computer and Communication (ICFCC 2011) -- JUN 03-05, 2011 -- G Enescu Univ Arts, Iasi, ROMANIA
Anahtar Kelimeler
Protein-protein interactions (ppis), Pseudo amino acid composition (PseAAC), Support vector machine (SVM)
Kaynak
PROCEEDINGS OF THE 2011 3RD INTERNATIONAL CONFERENCE ON FUTURE COMPUTER AND COMMUNICATION (ICFCC 2011)
WoS Q Değeri
N/A
