Pengmian Feng
Molecular Biology · 2013–2015
A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 34 citations into it; #5,907 of 17,773 by trust here, #11,207 by citations
Whom Pengmian Feng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Pengmian Feng overall
Papers from Pengmian Feng's perspective
Ordered by how strongly the researchers Pengmian Feng trusts endorse each paper. Same corpus, a different order for every researcher.
- LIBSVM: A library for support vector machines
- Cell-PLoc 2.0: an improved package of web-servers for predicting subcellular localization of proteins in various organisms
- Using Chou's amphiphilic pseudo-amino acid composition and support vector machine for prediction of enzyme subfamily classes. (Journal of Theoretical Biology)
- The Nature of Statistical Learning Theory
- Statistical Learning Theory
- Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
- Prediction of protein cellular attributes using pseudo‐amino acid composition (Proteins: Structure, Function, and Bioinformatics)
- Statistics of Local Complexity in Amino Acid Sequences and Sequence Databases
- Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes (Bioinform.)
- Basic local alignment search tool.
Their papers
- iRSpot-PseDNC: identify recombination spots with pseudo dinucleotide composition (2013) — 598 citations
- iRNA-Methyl: Identifying N(6)-methyladenosine sites using pseudo nucleotide composition. (2015) — 339 citations