Prediction of High-Risk Types of Human Papillomaviruses Using Statistical Model of Protein "Sequence Space".
Cong WangYabing Hai HaiXiao-Qing LiuNanfang LiuYuhua YaoPingan HeQi DaiPublished in: Comput. Math. Methods Medicine (2015)
Keyphrases
- statistical model
- high risk
- protein sequences
- protein secondary structure
- statistical models
- protein secondary structure prediction
- protein structure prediction
- experimentally determined
- protein structure
- risk factors
- secondary structure
- prediction accuracy
- facial shape
- amino acids
- prostate cancer
- multiple sequence alignments
- amino acid sequences
- statistical distribution
- protein function
- face recognition
- decision support system
- medical images