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PublicationsTable of contents
Microarrays
J. Nilsson,
Nonlinear dimensionality reduction of gene expression data,
Licentiate Thesis in Mathematical Sciences 2006:1, Mathematics, Lund University, 2006.
A. Bengtsson and H. Bengtsson, Microarray image analysis: background estimation using quantile and morphological filters, BMC Bioinformatics, 2006, 7:96.
H. Bengtsson and O. Hössjer, Methodological study of affine transformations of gene expression data with proposed robust non-parametric multi-dimensional normalization method, BMC Bioinformatics, 2006, 7:100.
H. Bengtsson, G. Jönsson and J. Vallon-Christersson, Calibration and assessment of channel-specific biases in microarray data with extended dynamical range, BMC Bioinformatics, 2004, 5:177.
H. Bengtsson,
Low-level Analysis of Microarray Data,
Doctoral Thesis in Mathematical Sciences 2004:6, Mathematical Statistics, Lund University, 2004.
H. Bengtsson and O. Hössjer, Affine calibration for microarrays with dilution series or spike-ins, Preprints in Mathematical Sciences 2004:19, Mathematical Statistics, Lund University, 2004.
H. Bengtsson, aroma - An R Object-oriented Microarray Analysis environment, Preprints in Mathematical Sciences 2004:18, Mathematical Statistics, Lund University, 2004.
Y. Johansson,
Finding Regions of Amplification and Deletion in Array-CGH Data Using Local Polynomial Regression and Change Detection Methods,
Master's theses in Mathematical Sciences 2004:E26, Mathematical Statistics, Lund University, 2004.
S. Emriksson,
Finding nonlinear structures in microarray data using kernels,
Master's theses in Mathematical Sciences 2003:E23, Mathematics, Lund University, 2004.
J. Nilsson, Thoas Fioretos, Mattias Höglund and Magnus Fontes,
Approximate geodesic distances reveal biologically relevant structures in microarray data,
Bioinformatics 20(6):874-80, 2004.
H. Bengtsson and O. Hössjer, Methodological study of affine transformations of gene expression data with proposed normalization method, Preprints in Mathematical Sciences 2003:38, Mathematical Statistics, Lund University, 2003.
H. Bengtsson, G. Jönsson and J. Vallon-Christersson, Calibration and assessment of channel-specific biases in microarray data with extended dynamical range, Preprints in Mathematical Sciences 2003:37, Mathematical Statistics, Lund University, 2003. (Accepted for BMC Bioinformatics)
A. Bengtsson,
Microarray Image Analysis: Background Estimation using Region and Filtering Techniques,
Master's theses in Mathematical Sciences 2003:E40, Mathematics, Lund University, 2003.
H. Bengtsson, Identification and normalization of plate effect in cDNA microarray data, Preprints in Mathematical Sciences, 2002:28, Mathematical Statistics, Lund University, 2002.
J. Nilsson,
Methods for classification of gene expressions,
Master's theses in Mathematical Sciences 2002:E5, Mathematics, Lund University, 2002.
H. Bengtsson, B. Calder, I. S. Mian, M. Callow, E. Rubin, and T. P. Speed, Identifying Differentially Expressed Genes in cDNA Microarray Experiments, Science SAGE KE 2001 (12), vp8. [DOI: 10.1126/sageke.2001.12.vp8] Statistical Methods for Gene Mapping
A. Kurbasic and O. Hössjer,
Relative Risk for General Phenotypes and Genetic Models., Preprints in Mathematical Sciences 2005:7, Mathematical Statistics, Lund University, 2005.
L. Ängquist and O. Hössjer,
Using Importance Sampling to Improve Simulation in Linkage Analysis,
Statistical Applications in Genetics and Molecular Biology, Volume 3 - Issue 1 - Article 5, May 2004.
A. Kurbasic and O. Hössjer,
On Computation of P-values in Parametric Linkage Analysis, Human Heredity 2004, Vol. 57, No. 4.
L. Ängquist and O. Hössjer,
Using Importance Sampling to Improve Simulation in Linkage Analysis,
Preprints in Mathematical Sciences 2003:34, Mathematical Statistics, Lund University, 2003.
L. Ängquist,
Kopplingsanalys - ett led i forskningen om folksjukdomars uppkomst,
Popular Science Summary, Revision of Communication Technique Course Project, Lund University, 2003.
L. Ängquist and O. Hössjer,
Improving the Calculation of Statistical Significance in Genome-Wide Scans,
Preprints in Mathematical Sciences 2003:3, Mathematical Statistics, Lund University, 2003.
L. Ängquist,
Conditional Two-Locus NPL-Analyses: Theory and Applications,
Master's Thesis in Mathematical Sciences 2001:E22, Mathematical Statistics, Lund University, 2001.
A. Kurbasic,
Targeted Parametric Linkage Analysis in Eight Families with Non-BRCA1/BRCA2 Breast Cancer,
Master's Thesis in Mathematical Sciences, Centre for Mathematical Sciences, Lund University, 2000. Various subjects
E. Basic,
Comparative DNA analysis,
Master's theses in Mathematical Sciences 2005:E33, Mathematics, Lund University, 2005. |
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Email: bioinformatics@maths.lth.se
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