Two-layer SVM classifier for remote protein homology detection and fold recognition
Advances in molecular biology in the past years have yielded an unprecedented amount of new protein sequences. The resulting sequences describe a protein in terms of the amino acids that constitute them without structural or functional protein information. Therefore, remote protein homology detectio...
Saved in:
主要作者: | Muda, Mohd. Hilmi |
---|---|
格式: | Thesis |
語言: | English |
出版: |
2009
|
主題: | |
在線閱讀: | http://eprints.utm.my/id/eprint/11488/6/MohdHilmiMudaMFSKSM2009.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
相似書籍
-
Sequence comparison latent semantic analysis and support vector machine to detect remote protein homology
由: Ismail, Surayati
出版: (2010) -
Development of a computational framework for protein homology detection by incorporating realignment
由: Abdullah, Mohamad Firdaus
出版: (2010) -
Source identification of captured video using photo response non-uniformity noise pattern and svm classifiers
由: Esmaeilani, Roya
出版: (2014) -
Ensemble of classifiers for detection of advanced persistent threat
由: Chizoba, Okwara Jerry
出版: (2019) -
Molecular database similarity searching using support vector machines (SVM)
由: Mohammadi, Narges
出版: (2009)