Network modeling of the transcriptional effects of copy number aberrations in glioblastoma
Journal article, 2011
Models
Gene Expression Profiling
metabolism
pathology
Gene Dosage
Nuclear Proteins
genetics
Genetic
Genome-Wide Association Study
metabolism
Databases
Factual
genetics
pathology
Transcriptional Activation
genetics
Human
Cell Line
genetics
Glioblastoma
metabolism
Gene Regulatory Networks
mortality
Chromosome Aberrations
Nerve Tissue Proteins
Prognosis
Software
genetics
metabolism
Neoplastic
genetics
Tumor Suppressor Protein p53
Humans
mortality
Genome
Tumor
Nervous System Neoplasms
Gene Expression Regulation
metabolism
Author
Rebecka Jörnsten
University of Gothenburg
Chalmers, Mathematical Sciences, Mathematical Statistics
Tobias Abenius
University of Gothenburg
Chalmers, Mathematical Sciences, Mathematical Statistics
Teresia Kling
University of Gothenburg
Linnéa Schmidt
University of Gothenburg
Erik Johansson
University of Gothenburg
Torbjörn E M Nordling
Royal Institute of Technology (KTH)
Bodil Nordlander
University of Gothenburg
Chris Sander
Memorial Sloan-Kettering Cancer Center
Peter Gennemark
University of Gothenburg
Chalmers, Mathematical Sciences
Keiko Funa
University of Gothenburg
Björn Nilsson
Lund University
Linda Lindahl
University of Gothenburg
Sven Nelander
University of Gothenburg
Molecular Systems Biology
17444292 (eISSN)
Vol. 7 486- 486Subject Categories
Cell and Molecular Biology
Other Biological Topics
Bioinformatics and Systems Biology
Probability Theory and Statistics
DOI
10.1038/msb.2011.17
PubMed
21525872