Ren Long

Molecular Biology · 2016

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ren Long trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Kuo-Chen Chou
  2. Hongbin Shen
  3. Chih-Jen Lin

Papers from Ren Long's perspective

Ordered by how strongly the researchers Ren Long trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Prediction of protein cellular attributes using pseudo‐amino acid composition (Proteins: Structure, Function, and Bioinformatics)
  2. Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes (Bioinform.)
  3. LIBSVM: A library for support vector machines
  4. An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods
  5. Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences
  6. ChromHMM: automating chromatin state discovery and characterization (Nature Methods)
  7. Enhanced Regulatory Sequence Prediction Using Gapped k-mer Features
  8. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
  9. Some remarks on protein attribute prediction and pseudo amino acid composition (Journal of Theoretical Biology)
  10. Some remarks on predicting multi-label attributes in molecular biosystems. (Molecular Biosystems)

Their papers