Publications for Mika Gustafsson
Co-author map based on ISI articles 2007-

Publications mentioned in social media 52 times*

Keywords

transcription t system reverse regulatory patients motifs model large-scale hubs high-throughput genome-wide genes gene flexibility engineering em> cells biological algorithm

Journal Articles

Sören Bruhn, Yu Fang, Fredrik Barrenäs, Mika Gustafsson, Huan Zhang, Aelita Konstantinell, Andrea Kronke, Birte Sonnichsen, Anne Bresnick, Natalya Dulyaninova, Hui Wang, Yelin Zhao, Jorg Klingelhofer, Noona Ambartsumian, Mette K. Beck, Colm Nestor, Elsa Bona, Zou Xiang and Mikael Benson
  A Generally Applicable Translational Strategy Identifies S100A4 as a Candidate Gene in Allergy
 
Altmetric usage: 6

  Science Translational Medicine, 2014, 6(218), .
   Fulltext  PDF  

Sören Bruhn, Mark Katzenellenbogen, Mika Gustafsson, Andrea Krönke, Birte Sönnichsen, Huan Zhang and Mikael Benson
  Combining gene expression microarray- and cluster analysis with sequence-based predictions to identify regulators of IL-13 in allergy
  Cytokine, 2012, 60(3), 736-740.
 Web of Science® Times Cited: 1

Yelin Zhao, Hui Wang, Mika Gustafsson, Antonella Muraro, Sören Bruhn and Mikael Benson
  Combined Multivariate and Pathway Analyses Show That Allergen-Induced Gene Expression Changes in CD4(+) T Cells Are Reversed by Glucocorticoids
 
Altmetric usage: 4

  PLoS ONE, 2012, 7(6), .
   Fulltext  PDF  
 Web of Science® Times Cited: 3

A-K M Sjogren, Fredrik Barrenäs, A Muraro, Mika Gustafsson, P Saetrom, Hui Wang and Mikael Benson
  Monozygotic twins discordant for intermittent allergic rhinitis differ in mRNA and protein levels
 
Altmetric usage: 40

  Allergy. European Journal of Allergy and Clinical Immunology, 2012, 67(6), 831-833.

Michael Hörnquist and Mika Gustafsson
  Stability and Flexibility from a System Analysis of Gene RegulatoryNetworks Based on Ordinary Differential Equations
  The Open Bioinformatics Journal, 2011, 5, 26-33.
   Fulltext  PDF  

Mika Gustafsson and Michael Hörnquist
  Gene Expression Prediction by Soft Integration and the Elastic Net: Best Performance of the DREAM3 Gene Expression Challenge
  PLoS ONE, 2010, 5(2), e9134.
   Fulltext  PDF  
 Web of Science® Times Cited: 8

Mika Gustafsson, Michael Hörnquist, J Bjorkegren and Jesper Tegnér
  Genome-wide system analysis reveals stable yet flexible network dynamics in yeast
  IET SYSTEMS BIOLOGY, 2009, 3(4), 219-228.
   Fulltext  PDF  
 Web of Science® Times Cited: 5

Mika Gustafsson, Michael Hörnquist, Jesper Tegnér and et al. 155 external authors
  The transcriptional network that controls growth arrest and differentiation in a human myeloid leukemia cell line
 
Altmetric usage: 2

  Nature Genetics, 2009, 41, 553-562.
 Web of Science® Times Cited: 167

Mika Gustafsson, Michael Hörnquist, Jesper Lundstrom, Johan Bjorkegren and Jesper Tegnér
  Reverse Engineering of Gene Networks with LASSO and Nonlinear Basis Functions
  CHALLENGES OF SYSTEMS BIOLOGY: COMMUNITY EFFORTS TO HARNESS BIOLOGICAL COMPLEXITY, 2009, 1158, 265-275.
   Fulltext  PDF  
 Web of Science® Times Cited: 7

Mika Gustafsson, Michael Hörnquist and Anna Lombardi
  Comparison and validation of community structures in complex networks
  Physica A: Statistical Mechanics and its Applications, 2006, 367, 559-576.
 Web of Science® Times Cited: 28

Mika Gustafsson, Michael Hörnquist and Anna Lombardi
  Constructing and analyzing a large-scale gene-to-gene regulatory network Lasso-constrained inference and biological validation
  IEEE/ACM Transactions on Computational Biology & Bioinformatics, 2005, 2(3), 254-261.
 Web of Science® Times Cited: 38

Chapters in Books

Mika Gustafsson and Michael Hörnquist
  Integrating various data sources for improved quality in reverse engineering of gene regulatory networks
  Handbook of Research on Computational Methodologies in Gene Regulatory Networks, IGI Global, 2009, 476-496.


Conference Articles

Mika Gustafsson and Michael Hörnquist
  In-silico network predictions by ODE and lasso
  DREAM,2008, 2008.


Mika Gustafsson and Michael Hörnquist
  Gene expression prediction by the elastic net
  DREAM,2008, 2008.


Mika Gustafsson, Michael Hörnquist, Johan Björkegren and Jesper Tegnér
  Soft Integration of Data for Reverse Engineering
  International Conference on Systems Biology,2008, 2008.


Mika Gustafsson, Michael Hörnquist and Anna Lombardi
  Community structure in "gene-to-gene" networks
  BioInformatics Conference,2004, 2004.


Mika Gustafsson, Michael Hörnquist and Anna Lombardi
  Combination of gene clusterings enhances biological validity
  Reglermöte,2004, 2004.


Ph.D. Theses

Mika Gustafsson
  Gene networks from high-throughput data: Reverse engineering and analysis
  2010.


  Fulltext PDF

Licentiate Theses

Mika Gustafsson
  Large-scale topology, stability and biology of gene networks
  2006.


* Social media data based on publications from 2011 to present and with a DOI; data delivered by Altmetric.com.