Xun Lan

Molecular Biology · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xun Lan trusts overall

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

  1. Kuo-Chen Chou
  2. Hongbin Shen
  3. Chih-Jen Lin
  4. Heng Li
  5. James Y. Zou

Papers from Xun Lan's perspective

Ordered by how strongly the researchers Xun Lan 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. ChromHMM: automating chromatin state discovery and characterization (Nature Methods)
  4. LIBSVM: A library for support vector machines
  5. An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods
  6. Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences
  7. Enhanced Regulatory Sequence Prediction Using Gapped k-mer Features
  8. An expanded view of complex traits: from polygenic to omnigenic (Cell)
  9. Partitioning heritability of regulatory and cell-type-specific variants across 11 common diseases. (American Journal of Human Genetics)
  10. A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data (Bioinform.)

Their papers