Erno Lindfors
04.11.2011
Department of Biomedical Engineering and Computational Science, Aalto
University School of Science and Technology
Network Biology. Applications in medicine and biotechnology
Reviewers:
Docent Juho Rousu, Department of Computer Science, University of Helsinki
Docent Tero Aittokallio, Department of Mathematics, University of Turku
Opponent:
Professor Olli Yli-Harja, Department of Signal Processing, Tampere
University of Technology
Custos:
Professor Kimmo Kaski, Department of Biomedical Engineering and
Computational Science, Aalto University School of Science and Technology
Publications:
- Lindfors E, Gopalacharyulu PV, Halperin E, Oresic M. (2009).
Detection of molecular paths associated with insulitis and type 1
diabetes in non-obese diabetic mouse. PLoS ONE, 4:e7323, 9 p.
- Gopalacharyulu PV, Lindfors E, Bounsaythip C, Kivioja T, Yetukuri
L, Hollmén J, Oresic M. (2005). Data integration and visualization
system for enabling conceptual biology. Bioinformatics, 21:i177-i185.
- Gopalacharyulu PV (*), Lindfors E (*), Miettinen J, Bounsaythip
C, Oresic M. (2008). An integrative approach for biological data
mining and visualization. International Journal of Data Mining and
Bioinformatics, 2:54-77.
- Bounsaythip C, Lindfors E, Gopalacharyulu PV, Hollmén J, Oresic
M. (2005). Network-based representation of biological data for
enabling context-based mining. In: Catherine Bounsaythip, Jaakko
Hollmén, Samuel Kaski, and Matej Oresic, editors, Proceedings of
KRBIO'05, International Symposium on Knowledge Representation in
Bioinformatics, Espoo, Finland, Jun 2005. Helsinki University of
Technology, Laboratory of Computer and Information Science, 6 p.
- Lindfors E, Mattila J, Gopalacharyulu PV, Pesonen A, Lötjönen J,
Oresic M. Heterogeneous Biological Network Visualization System: Case
Study in Context of Medical Image Data. Advances in Experimental
Medicine and Biology, In press.
- Gopalacharyulu PV (*), Velagapudi VR(*), Lindfors E, Halperin E,
Oresic M. (2009). Dynamic network topology changes in functional
modules predict responses to oxidative stress in yeast. Molecular
BioSystems, 5(3):276-287.
(*) Equal contribution