Pei Zhao
Molecular Biology · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 37 citations into it
Whom Pei Zhao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Pei Zhao's perspective
Ordered by how strongly the researchers Pei Zhao trusts endorse each paper. Same corpus, a different order for every researcher.
- Prediction of protein cellular attributes using pseudo‐amino acid composition (Proteins: Structure, Function, and Bioinformatics)
- Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes (Bioinform.)
- Cell-PLoc: a package of Web servers for predicting subcellular localization of proteins in various organisms (Nature Protocols)
- Classification of Nuclear Receptors Based on Amino Acid Composition and Dipeptide Composition* (Journal of Biological Chemistry)
- Prediction of the secondary structure of proteins from their amino acid sequence.
- Basic local alignment search tool.
- The Nature of Statistical Learning Theory
- SCOP: a structural classification of proteins database for the investigation of sequences and structures.
- PseAAC: a flexible web server for generating various kinds of protein pseudo amino acid composition. (Analytical Biochemistry)
- Multi-class protein fold recognition using support vector machines and neural networks (Bioinform.)
Their papers
- iLearn : an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data (2019) — 351 citations
- iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences (2018) — 606 citations