BMC Bioinformatics

official impact factor 3.03

This article is part of the supplement: Neural Information Processing Systems (NIPS) workshop on New Problems and Methods in Computational Biology

Open Access

Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data

Ivan G Costa*, Roland Krause, Lennart Opitz and Alexander Schliep*

BMC Bioinformatics 2007, 8(Suppl 10):S3 doi:10.1186/1471-2105-8-S10-S3

Accesses  

  • Last 30 days: 45 accesses
  • Last 365 days: 439 accesses
  • All time: 2237 accesses

Cited by

BioMed Central: 3 citations

Research   Open Access Highly Accessed

Structural influence of gene networks on their inference: analysis of C3NET

Gökmen Altay, Frank Emmert-Streib Biology Direct 2011, 6:31 (22 June 2011)

Software   Open Access Highly Accessed

PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data

Benjamin Georgi, Ivan Costa, Alexander Schliep BMC Bioinformatics 2010, 11:9 (6 January 2010)

Methodology article   Open Access

A bag-of-words approach for Drosophila gene expression pattern annotation

Shuiwang Ji, Ying-Xin Li, Zhi-Hua Zhou, Sudhir Kumar, Jieping Ye BMC Bioinformatics 2009, 10:119 (21 April 2009)