SemiBiomarker – Bioimage-based Semi-supervised Method for Protein Subcellular Localization

SemiBiomarker

:: DESCRIPTION

SemiBiomarker is a new semi-supervised protocol that can use unlabeled cancer protein data in model construction by an iterative and incremental training strategy.It can result in improved accuracy and sensitivity of subcellular location difference detection.

::DEVELOPER

Computational Systems Biology Group, Shanghai Jiao Tong University

:: SCREENSHOTS

N/a

:: REQUIREMENTS

  • Windows
  • MatLab

:: DOWNLOAD

 SemiBiomarker

:: MORE INFORMATION

Citation

Bioimaging based detection of mislocalized proteins in human cancers by semi-supervised learning.
Xu YY, Yang F, Zhang Y, Shen HB.
Bioinformatics. 2014 Nov 19. pii: btu772.

SherLoc2 20091026 – Predicting Protein Subcellular Localization

SherLoc2 20091026

:: DESCRIPTION

SherLoc2 predicts animal, plant and fungal protein subcellualr localizations using sequence-based and text-based features.

::DEVELOPER

APPLIED BIOINFORMATICS GROUP

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 SherLoc2 

:: MORE INFORMATION

Citation

Briesemeister, S, Blum, T, Brady, S, Lam, Y, Kohlbacher, O, and Shatkay, H (2009).
SherLoc2: a high-accuracy hybrid method for predicting subcellular localization of proteins
J. Proteome Res., 8(11):5363–5366