Hui Ding
Molecular Biology · Nucleic Acids Research · 2014–2015
A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 63 citations into it; #7,133 of 17,773 by trust here, #10,347 by citations
Whom Hui Ding trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Hui Ding overall
Papers from Hui Ding's perspective
Ordered by how strongly the researchers Hui Ding trusts endorse each paper. Same corpus, a different order for every researcher.
- Fitting a Mixture Model By Expectation Maximization To Discover Motifs In Biopolymer
- Cell-PLoc: a package of Web servers for predicting subcellular localization of proteins in various organisms (Nature Protocols)
- The History of the Cluster Heat Map
- iSNO-PseAAC: Predict Cysteine S-Nitrosylation Sites in Proteins by Incorporating Position Specific Amino Acid Propensity into Pseudo Amino Acid Composition (PLoS ONE)
- Prediction of protein cellular attributes using pseudo‐amino acid composition (Proteins: Structure, Function, and Bioinformatics)
- Gene Ontology: tool for the unification of biology
- Statistics of Local Complexity in Amino Acid Sequences and Sequence Databases
- Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes (Bioinform.)
- PseAAC: a flexible web server for generating various kinds of protein pseudo amino acid composition. (Analytical Biochemistry)
- Basic local alignment search tool.
Their papers
- iPro54-PseKNC: a sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide composition (2014) — 495 citations
- iNuc-PseKNC: a sequence-based predictor for predicting nucleosome positioning in genomes with pseudo k-tuple nucleotide composition (2014) — 372 citations
- iRNA-Methyl: Identifying N(6)-methyladenosine sites using pseudo nucleotide composition. (2015) — 339 citations