Research Interests
- Bioinformatics, systems biology, genomics, proteomics, (cancer) epidemiology
- Machine learning, artificial intelligence, statistics, data and text mining
- Artificial life, self-organization and emergence, creativity
Professional Activities
- Program committees: CAMDA07, IDA07, IFIPAI08, DS08, CAMDA08, DMIN08, BIBM08, DMIN09, BIBM09, IDA09, ISBRA09, IICAI09, CAMDA09, IFIPAI 2010, ICAART 2010
- (Co-)Chair: KDLL06,
ESF07
- Editorial boards: AAI, IJKDB
- Reviewing: Bioinformatics, BioTechniques, BMC
Bioinform., BMC
Syst.
Biol., Brief.
Bioinform., Comp.
Meth. Prog. Biomed., IEEE TCBB, IJDMB,
J.
Gene Reg. Syst. Biol., IEEE
SMC, Nucl.
Acids. Res., IJAIT,
Stat. Appl.
Genet. Mol. Biol., Alg. Mol. Biol., and various conferences and workshops.
Patents
- UK patent application no. 0821787.9 "A genomic-based method of stratifying breast cancer patients".
- Intl. patent application no. PCT/EP2008/010547 "Use of KIR genes for predicting response to
anti-TNFalpha therapy".
JSPS Research Project - Short Overview
Gene signatures with clinical and prognostic relevance in breast cancerA better understanding of the precise molecular mechanisms leading to the development and progression of aggressive breast tumors is a key fundamental objective in basic and clinical oncology research. This project focuses on prognostic gene signatures derived from microarray experiments and potential master regulators involved in cancer robustness. We are currently validating the prognostic power of a unique signature of invasion-mediating genes using publicily available microarray data sets of breast cancer patients. Particularly, we are combining our invasiveness profile with established prognostic factors (5 intrinsic subtypes, clinical parameters, and other prognostic gene signatures) and are investigating mechanisms leading to cancer robustness.
Collaborators: Tony Bjourson (UU), Hiroaki Kitano (SBI/JFCR)
Duration: Nov. 2008 - Oct. 2010
Funding: Japan Society for the Promotion of Science