Hao Lin
Molecular Biology · Nucleic Acids Research · 2013–2019
A researcher in the Science corpus: 6 papers; trusts 13 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 82 citations into it; #3,143 of 17,773 by trust here, #7,124 by citations
- Artificial Intelligence — 8 citations into it
Whom Hao Lin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kuo-Chen Chou
- Chih-Jen Lin
- Hongbin Shen
- Pengmian Feng
- Timothy L. Bailey
- Leland Wilkinson
- En-Ze Deng
- Shou-Hui Guo
- Pufeng Du
- Yu-Dong Cai
Who trusts Hao Lin overall
- Kuo-Chen Chou
- Jianhua Jia
- Bin Liu
- Xuan Xiao
- Wei Chen
- Manzil Zaheer
- Zi Liu
- Yongquan Yang
- Yan Xu
- Zhi-Yong Liang
Papers from Hao Lin's perspective
Ordered by how strongly the researchers Hao Lin trusts endorse each paper. Same corpus, a different order for every researcher.
- LIBSVM: A library for support vector machines
- Cell-PLoc: a package of Web servers for predicting subcellular localization of proteins in various organisms (Nature Protocols)
- Fitting a Mixture Model By Expectation Maximization To Discover Motifs In Biopolymer
- 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)
- The History of the Cluster Heat Map
- PseAAC-Builder: a cross-platform stand-alone program for generating various special Chou's pseudo-amino acid compositions. (Analytical Biochemistry)
- 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)
- iSNO-PseAAC: Predict Cysteine S-Nitrosylation Sites in Proteins by Incorporating Position Specific Amino Acid Propensity into Pseudo Amino Acid Composition (PLoS ONE)
Their papers
- iRSpot-PseDNC: identify recombination spots with pseudo dinucleotide composition (2013) — 598 citations
- iPro54-PseKNC: a sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide composition (2014) — 495 citations
- PseKNC: a flexible web server for generating pseudo K-tuple nucleotide composition. (2014) — 417 citations
- iNuc-PseKNC: a sequence-based predictor for predicting nucleosome positioning in genomes with pseudo k-tuple nucleotide composition (2014) — 372 citations
- Identifying Sigma70 Promoters with Novel Pseudo Nucleotide Composition (2019) — 162 citations
- iRNA-Methyl: Identifying N(6)-methyladenosine sites using pseudo nucleotide composition. (2015) — 339 citations