BMC Genomics

official impact factor 4.21

Open Access Highly Access

Meta-Analysis Approach identifies Candidate Genes and associated Molecular Networks for Type-2 Diabetes Mellitus

Axel Rasche*, Hadi Al-Hasani and Ralf Herwig

BMC Genomics 2008, 9:310 doi:10.1186/1471-2164-9-310

Accesses  

  • Last 30 days: 90 accesses
  • Last 365 days: 811 accesses
  • All time: 4724 accesses

Cited by

BioMed Central: 4 citations

Research   Open Access

Insights into the pathogenesis of axial spondyloarthropathy from network and pathway analysis

Jing Zhao, Jie Chen, Ting-Hong Yang, Petter Holme BMC Systems Biology 2012, 6(Suppl 1):S4 (16 July 2012)

Methodology article   Open Access

PPINGUIN: Peptide Profiling Guided Identification of Proteins Improves Quantitation of iTRAQ Ratios.

Chris Bauer, Frank Kleinjung, Dorothea Ruthishauser, Christian Panse, Alexandra Chadt, Tanja Dreja, Hadi Al-Hasani, Knut Reinert, Ralph Schlapbach, Johannes Schuchhardt BMC Bioinformatics 2012, 13:34 (16 February 2012)

Research article   Open Access Highly Accessed

Prioritizing genes for follow-up from genome wide association studies using information on gene expression in tissues relevant for type 2 diabetes mellitus

Hemang Parikh, Valeriya Lyssenko, Leif C Groop BMC Medical Genomics 2009, 2:72 (31 December 2009)

Methodology article   Open Access Highly Accessed

Regularized gene selection in cancer microarray meta-analysis

Shuangge Ma, Jian Huang BMC Bioinformatics 2009, 10:1 (1 January 2009)