Haiming Tang

Molecular Biology · 2016–2019

A researcher in the Science corpus: 4 papers; trusts 34 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Haiming Tang trusts overall

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

  1. Pauline Crystal Ng
  2. Steven Henikoff
  3. Simon Whelan
  4. Paul D. Thomas
  5. Panagiotis Katsonis
  6. J. Thusberg
  7. S. Blair Hedges
  8. Emidio Capriotti
  9. Vladimir Potapov
  10. Shamil R. Sunyaev

Who trusts Haiming Tang overall

  1. Paul D. Thomas
  2. Raquel Dias
  3. Huaiyu Mi
  4. Ali Torkamani
  5. Anushya Muruganujan
  6. Dustin Ebert
  7. Xiaosong Huang

Papers from Haiming Tang's perspective

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

  1. Predicting deleterious amino acid substitutions.
  2. A method and server for predicting damaging missense mutations
  3. Predicting the effects of amino acid substitutions on protein function.
  4. Performance of mutation pathogenicity prediction methods on missense variants (Human Mutation)
  5. Prediction of Missense Mutation Functionality Depends on both the Algorithm and Sequence Alignment Employed
  6. Amino acid substitution matrices from protein blocks.
  7. Human non-synonymous SNPs: server and survey. (Nucleic Acids Research)
  8. SIFT: predicting amino acid changes that affect protein function
  9. Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes.
  10. PANTHER: a library of protein families and subfamilies indexed by function. (Genome Research)

Their papers