Publications for Michael Hörnquist
Co-author map based on ISI articles 2007-

Publications mentioned in social media 2 times*

Keywords

yeast transcription system reverse regulatory p>the motifs model large-scale hubs genes gene flexibility external engineering dynamics dimensionality breathers biological algorithm

Journal Articles

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

Fredrik Karlsson and Michael Hörnquist
  Order or chaos in Boolean gene networks depends on the mean fraction of canalizing functions
  Physica A: Statistical Mechanics and its Applications, 2007, 384(2), 747-757.
 Web of Science® Times Cited: 8

Anna Lombardi and Michael Hörnquist
  Controllability analysis of networks
  Physical Review E. Statistical, Nonlinear, and Soft Matter Physics, 2007, 75(056110), .
 Web of Science® Times Cited: 14

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

Vesteinn Thorsson, Vesteinn Thorsson, Michael Hörnquist, Michael Hörnquist, Andrew F. Siegel, Andrew F. Siegel, Leroy Hood and Leroy Hood
  Reverse engineering galactose regulation in yeast through model selection
  Statistical Applications in Genetics and Molecular Biology, 2005, 4(1), .
 Web of Science® Times Cited: 7

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

K. A. Eriksen, Michael Hörnquist and K. Sneppen
  Visualization of large-scale correlations in gene expressions
  Functional & Integrative Genomics, 2004, 4(4), 241-245.

Erik Lennholm and Michael Hörnquist
  Revisiting Salerno's sine-Gordon model of DNA: Active regions and robustness
  Physica D: Non-linear phenomena, 2003, 177(1-4), 233-241.
 Web of Science® Times Cited: 18

Michael Hörnquist, J. Hertz and M. Wahde
  Effective dimensionality for principal component analysis of time series expression data
  Biosystems (Amsterdam. Print), 2003, 71(3), 311-317.
 Web of Science® Times Cited: 7

K.A. Eriksen and Michael Hörnquist
  Scale-free growing networks imply linear preferential attachment
  Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 2002, 65(1), .
 Web of Science® Times Cited: 5

Michael Hörnquist, J. Hertz and M. Wahde
  Effective dimensionality of large-scale expression data using principal component analysis
  Biosystems (Amsterdam. Print), 2002, 65(2-3), 147-156.
 Web of Science® Times Cited: 10

Michael Hörnquist, Erik Lennholm and C Basu
  Discrete breathers in aperiodic diatomic FPU lattices with long range order
  Physica D: Non-linear phenomena, 2000, 136(1-2), 93-124.
 Web of Science® Times Cited: 5

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

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