BMC Psychiatry

official impact factor 2.89

Open Access

Putative psychosis genes in the prefrontal cortex: combined analysis of gene expression microarrays

Kwang H Choi*, Michael Elashoff, Brandon W Higgs, Jonathan Song, Sanghyeon Kim, Sarven Sabunciyan, Suad Diglisic, Robert H Yolken, Michael B Knable, E Fuller Torrey and Maree J Webster

BMC Psychiatry 2008, 8:87 doi:10.1186/1471-244X-8-87

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Construction and analysis of the protein-protein interaction networks for schizophrenia, bipolar disorder, and major depression

Sheng-An Lee, Theresa Tsao, Ko-Chun Yang, Han Lin, Yu-Lun Kuo, Chien-Hsiang Hsu, Wen-Kuei Lee, Kuo-Chuan Huang, Cheng-Yan Kao BMC Bioinformatics 2011, 12(Suppl 13):S20 (30 November 2011)

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BioGraph: unsupervised biomedical knowledge discovery via automated hypothesis generation

Anthony ML Liekens, Jeroen De Knijf, Walter Daelemans, Bart Goethals, Peter De Rijk, Jurgen Del-Favero Genome Biology 2011, 12:R57 (22 June 2011)

Software for data integration and mining of biomedical data

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Effects of typical and atypical antipsychotic drugs on gene expression profiles in the liver of schizophrenia subjects

Kwang H Choi, Brandon W Higgs, Serge Weis, Jonathan Song, Ida C Llenos, Jeannette R Dulay, Robert H Yolken, Maree J Webster BMC Psychiatry 2009, 9:57 (16 September 2009)

Both typical and atypical antipsychotics affect different biological processes in the liver by changing gene expression profiles, providing valuable information for the development of future drugs with less side effects.