Manoj Bhasin
Molecular Biology · 2004
A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 15 citations into it; #3,911 of 17,773 by trust here, #12,008 by citations
- Computational Biology & Bioinformatics — 5 citations into it
Whom Manoj Bhasin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Harpreet Singh
- Sujun Hua
- Gajendra P. Raghava
- Olof Emanuelsson
- Pedro A. Reche
- Stephen F. Altschul
- Hideo Bannai
- Zhirong Sun
- Jennifer L. Gardy
- Vladimir Naumovich Vapni
Who trusts Manoj Bhasin overall
- Kuo-Chen Chou
- Oksana Yakhnenko
- Andrea Pierleoni
- Ruth E. Soria-Guerra
- Zhen Chen
- Adrian Silvescu
- Pier Luigi Martelli
- Ricardo Nieto-Gomez
- Philip S. Thomas
- Pei Zhao
Papers from Manoj Bhasin's perspective
Ordered by how strongly the researchers Manoj Bhasin trusts endorse each paper. Same corpus, a different order for every researcher.
- The Nature of Statistical Learning Theory
- Extensive feature detection of N-terminal protein sorting signals (Bioinform.)
- Basic local alignment search tool.
- MHC ligands and peptide motifs: first listing (Immunogenetics)
- Prediction of MHC class I binding peptides using profile motifs. (Human Immunology)
- Predicting subcellular localization of proteins based on their N-terminal amino acid sequence. (Journal of Molecular Biology)
- ProPred: prediction of HLA-DR binding sites (Bioinform.)
- PSORT-B: improving protein subcellular localization prediction for Gram-negative bacteria (Nucleic Acids Res.)
- An Introduction to Support Vector Machines and Other Kernel‐based Learning Methods
- PSORT: a program for detecting sorting signals in proteins and predicting their subcellular localization.
Their papers
- ESLpred: SVM-based method for subcellular localization of eukaryotic proteins using dipeptide composition and PSI-BLAST (2004) — 314 citations
- Classification of Nuclear Receptors Based on Amino Acid Composition and Dipeptide Composition* (2004) — 549 citations
- Prediction of CTL epitopes using QM, SVM and ANN techniques. (2004) — 379 citations