Magnus Fontes

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BayesFlow: latent modeling of flow cytometry cell populations

J. Wallin, K. Johnsson, Magnus Fontes, 2016, BMC Bioinformatics.

Incorporation of gene exchangeabilities improves the reproducibility of gene set rankings

Charlotte Soneson, Magnus Fontes, C. Soneson, 2014, Comput. Stat. Data Anal..

A framework for list representation, enabling list stabilization through incorporation of gene exchangeabilities.

Charlotte Soneson, Magnus Fontes, C. Soneson, 2011, Biostatistics.

Integrative analysis of gene expression and copy number alterations using canonical correlation analysis

Charlotte Soneson, Magnus Fontes, Thoas Fioretos, 2010, BMC Bioinformatics.

Statistical and Knowledge Supported Visualization of Multivariate Data

M. Fontes, Magnus Fontes, 2010, 1008.5374.

Transcriptional regulation of aquaporins in accessions of Arabidopsis in response to drought stress.

Erik Alexandersson, U. Johanson, P. Kjellbom, 2010, The Plant journal : for cell and molecular biology.

What is a “unimodal” cell population? Using statistical tests as criteria for unimodality in automated gating and quality control

Kerstin Johnsson, Magnus Linderoth, Magnus Fontes, 2017, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

The projection score - an evaluation criterion for variable subset selection in PCA visualization

Charlotte Soneson, Magnus Fontes, C. Soneson, 2011, BMC Bioinformatics.

Low Bias Local Intrinsic Dimension Estimation from Expected Simplex Skewness

Charlotte Soneson, Kerstin Johnsson, Magnus Fontes, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Early changes in the hypothalamic region in prodromal Huntington disease revealed by MRI analysis

Charlotte Soneson, Magnus Fontes, Yongxia Zhou, 2010, Neurobiology of Disease.

Approximate geodesic distances reveal biologically relevant structures in microarray data

Jens Nilsson, Magnus Fontes, Thoas Fioretos, 2004, Bioinform..

Integrative analysis of gene expression and copy number alterations using canonical correlation analysis

T. Fioretos, H. Lilljebjörn, Magnus Fontes, 2010, BMC bioinformatics.

BayesFlow: latent modeling of flow cytometry cell populations

Jonas Wallin, Kerstin Johnsson, Magnus Fontes, 2016, BMC Bioinformatics.

Microarray-based classification of a consecutive series of 121 childhood acute leukemias: prediction of leukemic and genetic subtype as well as of minimal residual disease status

B Johansson, M Fontes, M. Höglund, 2007, Leukemia.

BayesFlow: latent modeling of flow cytometry cell populations

J. Wallin, K. Johnsson, Magnus Fontes, 2016, BMC Bioinformatics.

A heterogeneous model for the MCFC cathode

D. Simonsson, E. Fontes, Magnus Fontes, 1995 .

Integrative analysis of gene expression and copy number alterations using canonical correlation analysis

T. Fioretos, C. Soneson, H. Lilljebjörn, 2010, BMC Bioinformatics.

Optimal Results for the Nonhomogeneous Initial-Boundary Value Problem for the Two-Dimensional Navier–Stokes Equations

Magnus Fontes, 2010 .

INITIAL-BOUNDARY VALUE PROBLEMS FOR PARABOLIC EQUATIONS

Magnus Fontes, Magnus Fontes, 2008, 0809.3391.

Transcriptional regulation of aquaporins in accessions of Arabidopsis in response to drought stress.

Erik Alexandersson, U. Johanson, P. Kjellbom, 2010, The Plant journal : for cell and molecular biology.

Latent modeling of flow cytometry cell populations

Jonas Wallin, Kerstin Johnsson, Magnus Fontes, 2015, 1502.04058.