Sebastian Briesemeister

Molecular Biology · 2009–2010

A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Sebastian Briesemeister trusts overall

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

  1. Kuo-Chen Chou
  2. Rajesh Nair
  3. Hongbin Shen
  4. Grigorios Tsoumakas
  5. Usama M. Fayyad
  6. Paul Horton
  7. Torsten Blum
  8. Chih-Jen Lin
  9. Burkhard Rost
  10. Vladimir Naumovich Vapni

Who trusts Sebastian Briesemeister overall

  1. Michael Heinzinger
  2. Ahmed Elnaggar
  3. Yu Wang
  4. Christian Dallago
  5. Janos X. Binder
  6. Burkhard Rost
  7. Florian Matthes
  8. Søren Kaae Sønderby
  9. Sune Frankild

Papers from Sebastian Briesemeister's perspective

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

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

Their papers