Chin-Sheng Yu
Molecular Biology · 2004–2014
A researcher in the Science corpus: 3 papers; trusts 17 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 31 citations into it; #11,915 of 17,773 by trust here, #12,227 by citations
Whom Chin-Sheng Yu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kuo-Chen Chou
- Sujun Hua
- Vladimir Naumovich Vapni
- Amos Bairoch
- Olof Emanuelsson
- Zhirong Sun
- Kaibo Duan
- Keun-Joon Park
- Michael V. Boland
- Rolf Apweiler
Who trusts Chin-Sheng Yu overall
- Michael Heinzinger
- Ahmed Elnaggar
- José Juan Almagro Armenteros
- Rasmus Agren
- Jenn-Kang Hwang
- Chih-Hao Lu
- Yu‐Ching Chen
- Yu Wang
- Christian Dallago
- Casper Kaae Sønderby
Papers from Chin-Sheng Yu's perspective
Ordered by how strongly the researchers Chin-Sheng Yu trusts endorse each paper. Same corpus, a different order for every researcher.
- Predicting subcellular localization of proteins based on their N-terminal amino acid sequence. (Journal of Molecular Biology)
- The Nature of Statistical Learning Theory
- Support vector machine approach for protein subcellular localization prediction (Bioinform.)
- Prediction of protein secondary structure at better than 70% accuracy.
- Basic local alignment search tool.
- Comparison of the predicted and observed secondary structure of T4 phage lysozyme.
- Prediction of protein cellular attributes using pseudo‐amino acid composition (Proteins: Structure, Function, and Bioinformatics)
- Prediction of protein subcellular locations by incorporating quasi-sequence-order effect. (Biochemical and Biophysical Research Communications - BBRC)
- Gene Ontology: tool for the unification of biology
- A novel method of protein secondary structure prediction with high segment overlap measure: support vector machine approach.
Their papers
- Prediction of protein subcellular localization (2006) — 1,670 citations
- Predicting subcellular localization of proteins for Gram‐negative bacteria by support vector machines based on n‐peptide compositions (2004) — 891 citations
- CELLO2GO: A Web Server for Protein subCELlular LOcalization Prediction with Functional Gene Ontology Annotation (2014) — 489 citations