Zhen Chen
Molecular Biology · with Li · 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 Zhen Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kuo-Chen Chou
- Manoj Bhasin
- Maxwell W. Libbrecht
- Hongbin Shen
- Gajendra P. Raghava
- William Stafford Noble
Who trusts Zhen Chen overall
Papers from Zhen Chen's perspective
Ordered by how strongly the researchers Zhen Chen 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