Torsten Blum

Molecular Biology · 2009

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Torsten Blum trusts overall

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

  1. Kuo-Chen Chou
  2. Chih-Jen Lin
  3. Vladimir Naumovich Vapni
  4. Hongbin Shen
  5. Rajesh Nair
  6. Sujun Hua
  7. Olof Emanuelsson
  8. Andrea Pierleoni
  9. Burkhard Rost
  10. Amos Bairoch

Who trusts Torsten Blum overall

  1. Michael Heinzinger
  2. Ahmed Elnaggar
  3. Sebastian Briesemeister
  4. Yu Wang
  5. Christian Dallago
  6. Jörg Rahnenführer
  7. Søren Kaae Sønderby
  8. Burkhard Rost
  9. Oliver Kohlbacher

Papers from Torsten Blum's perspective

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

  1. The Nature of Statistical Learning Theory
  2. Gene Ontology: tool for the unification of biology
  3. LIBSVM: A library for support vector machines
  4. Predicting subcellular localization of proteins based on their N-terminal amino acid sequence. (Journal of Molecular Biology)
  5. Support vector machine approach for protein subcellular localization prediction (Bioinform.)
  6. ESLpred: SVM-based method for subcellular localization of eukaryotic proteins using dipeptide composition and PSI-BLAST (Nucleic Acids Res.)
  7. PSORT: a program for detecting sorting signals in proteins and predicting their subcellular localization.
  8. Euk-mPLoc: a fusion classifier for large-scale eukaryotic protein subcellular location prediction by incorporating multiple sites. (Journal of Proteome Research)
  9. New developments in the InterPro database (Nucleic Acids Res.)
  10. Mimicking cellular sorting improves prediction of subcellular localization.

Their papers