Food-derived bioactive peptides (FBPs) are gaining interest due to their great potential in
agricultural byproduct valorization and high-activity peptide screening. The introduction of …

Due to their multiple beneficial effects, antioxidant peptides have attracted increasing
interest. Currently, the screening and identification of bioactive peptides, including …

Background: Developing machine learning based depression prediction method with
information from long-term recordings is important and challenging to clinical diagnosis of …

Efficient evaluation of biotoxicity of organics is of vital significance to resource utilization and
environmental protection. In this study, toxicity of 110 alcohol compounds to tadpoles of …

Quantitative structure–activity relationship models are used in toxicology to predict the
effects of organic compounds on aquatic organisms. Common filter feature selection …

Bioactive peptides participate in numerous metabolic functions of living organisms and have
emerged as potential therapeutics on a diverse range of diseases. Albeit peptide design …

摘要线性特征选择方法可提升定量构效关系(QSAR) 模型的预测能力, 但易忽略特征(理化属性)
与分子活性间的非线性关系. 本文提出基于支持向量回归(SVR) 的逐步非线性回归(SSNR) …

摘要以酪氨酸和左旋多巴混合溶液中左旋多巴的紫外光谱数据为研究对象, 首先用Kennard-
Stone 算法对样品集进行分割; 然后使用ν-SVR 和ε-SVR 算法对核进行建模, 以建立不同的核 …

I am a Ph. D. student in Computer Science at Carnegie Mellon University. I expect to
graduate on May of 2004. My research interests mainly lie in theoretical computer science …