Selected Publications Using GeneSapiens Data

Kilpinen et al., Systematic bioinformatic analysis of expression levels of 17,330 human genes across 9,783 samples from 175 types of healthy and pathological tissues, Genome Biology 2008

Autio et al., Comparison of Affymetrix data normalization methods using 6,926 experiments across five array generations, BMC Bioinformatics 2009

• How Workplace Environments Influence Gene Expression and Health
• Biomarkers of Exposure: Using Gene Expression to Detect Toxin Impact
• Gene Expression Changes in Response to Toxins: Mechanisms and Measurement
• The Science of Detoxification: Genes, Enzymes, and Pathways
• Drug Repositioning Through Transcriptome Analysis: Success Stories and Future Potential
• Environmental Influences on Human Gene Expression: What the Data Reveals
• Personalized Medicine: How Gene Expression Data is Shaping the Future of Healthcare
• Gene Co-Expression Networks: Tools for Uncovering Hidden Biological Relationships
• Comparing Gene Expression in Cancer Versus Healthy Tissue: Key Insights
• The Role of Transcriptome Analysis in Disease Biomarker Discovery

Kilpinen et al., Analysis of gene expression patterns across 5,681 human tissue samples reveals functional genomic taxonomy of the kinome, Plos One 2010

Wolf et al., Array-based gene expression, CGH and tissue data defines a 12q24 gain in neuroblastic tumors with prognostic implication, BMC Cancer 2010

Sundwall et al., Role of ErbB4 in breast cancer, J Mammary Gland Biol Neoplasia 2008

Brennan et al., The transcription factor Sox11 is a prognostic factor for improved recurrence-free survival in epithelial ovarian cancer, Eur J Cancer 2009

7. Mpindi et al., GTI: A Novel Algorithm for Identifying Outlier Gene Expression Profiles from Integrated Microarray Datasets, Plos One 2011

GeneSapiens in News

GeneSapiens was created at an interdisciplinary interface

EACR 21: GeneSapiens and the importance of transcription in cancer

New Kinome Database Promises Wealth of Unexpected Cancer Drug Targets