Olle Nerman

Professor emeritus at Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

Prof. Olle Nerman has a background in pure and applied probability research, in particular theory for asymptotic growth and composition stabilization phenomena of ideal branching populations and their applications in population dynamics and theoretical biology.In the 1990s he gradually widened his research in several directions, e.g. towards finite population sampling, statistics in medicine and statistical genetics and methods for identification of disease connected genes. Later on, Olle was heavily engaged in building up bioinformatics teatching and research in University Gothenburg, in Chalmers, and on the national level. Recently, he has been engaged in more traditional medical research collaborations with scientists at Sahlgrenska, in properly tailored methods suitable for analysis of data heavy field operational trafic saftey studies. The latter activity is done in collaboration with scientists both from academy and car and truck related industry engaged at the SAFETY trafic research centre hosted by Chalmers.

Source: chalmers.se

Showing 45 publications

2019

Modelling of zero-inflation improves inference of metagenomic gene count data

Viktor Jonsson, Tobias Österlund, Olle Nerman et al
Statistical Methods in Medical Research. Vol. 28 (12), p. 3712-3728
Journal article
2018

Searching for neurodegeneration in multiple sclerosis at clinical onset: Diagnostic value of biomarkers

Lenka Novakova, Markus Axelsson, Clas Malmeström et al
PLoS ONE. Vol. 13 (4)
Journal article
2018

Discussion of “human life is unlimited-but short” by H Rootzén and D Zholud

Olle Nerman
Extremes. Vol. 21 (3), p. 411-413
Journal article
2017

Diffusion tensor imaging in multiple sclerosis at different final outcomes

O. Andersen, Anders Hildeman, Marco Longfils et al
Multiple Sclerosis. Vol. 23, p. 448-449
Conference contribution
2017

A nationwide survey of the influence of month of birth on the risk of developing multiple sclerosis in Sweden and Iceland

O. Eliasdottir, Anders Hildeman, Marco Longfils et al
Multiple Sclerosis. Vol. 23, p. 119-119
Conference contribution
2016

Variability in Metagenomic Count Data and Its Influence on the Identification of Differentially Abundant Genes.

Viktor Jonsson, Tobias Österlund, Olle Nerman et al
Journal of computational biology : a journal of computational molecular cell biology. Vol. 24 (4), p. 311-326
Journal article
2016

Statistical evaluation of methods for identification of differentially abundant genes in comparative metagenomics

Viktor Jonsson, Tobias Österlund, Olle Nerman et al
BMC Genomics. Vol. 17 (1)
Journal article
2015

The outcome spectrum of multiple sclerosis: disability, mortality, and a cluster of predictors from onset

Helen Tedeholm, Bengt Skoog, Vera Lisovskaja et al
Journal of Neurology. Vol. 262 (5), p. 1148-1163
Journal article
2015

Upper Respiratory Infections and MRI Activity in Relapsing-Remitting Multiple Sclerosis

Maria Kneider, Vera Lisovskaja, Jan Lycke et al
Neuroepidemiology. Vol. 45 (2), p. 83-89
Journal article
2015

A Sleep Apnea-Related Risk of Motor Vehicle Accidents is Reduced by Continuous Positive Airway Pressure: Swedish Traffic Accident Registry Data

Mahssa Karimi, Jan A Hedner, Henrike Häbel et al
Sleep. Vol. 38 (3), p. 341-349
Journal article
2014

A sleep apnea related risk of vehicle accident is reduced by CPAP - Swedish traffic accident data acquisition (STRADA) registry

Mahssa Karimi, Jan A Hedner, Henrike Häbel et al
Journal of Sleep Research. Vol. 23 (Suppl 1), p. 67-67
Journal article
2013

Time to secondary progression in patients with multiple sclerosis who were treated with first generation immunomodulating drugs.

Helen Tedeholm, Jan Lycke, Bengt Skoog et al
Multiple Sclerosis. Vol. 19 (6), p. 765-774
Journal article
2013

A novel method for cross-species gene expression analysis

Erik Kristiansson, Tobias Österlund, Lina-Maria Gunnarsson et al
BMC Bioinformatics. Vol. 14 (1), p. artikel nr 70-
Journal article
2012

Distinct cytoplasmic and nuclear functions of the stress induced protein DDIT3/CHOP/GADD153

Alexandra Jauhiainen, Christer Thomsen, Linda Strömbom et al
PLoS ONE. Vol. 7 (4), p. e33208-
Journal article
2012

Transcriptional and metabolic data integration and modeling for identification of active pathways

Alexandra Jauhiainen, Olle Nerman, G. Michailidis et al
Biostatistics. Vol. 13 (4), p. 748-761
Journal article
2011

Expression profiling of GIST: CD133 is associated with KIT exon 11 mutations, gastric location, and poor prognosis.

Gabriella Arne, Erik Kristiansson, Olle Nerman et al
International Journal of Cancer. Vol. 129 (5), p. 1149-1161
Journal article
2009

mRNA stability changes precede changes in steady-state mRNA amounts during hyperosmotic stress

Claes Molin, Alexandra Jauhiainen, Jonas Warringer et al
RNA. Vol. 15 (4), p. 600-614
Journal article
2009

Evolutionary Forces Act on Promoter Length: Identification of Enriched Cis-Regulatory Elements

Erik Kristiansson, Michael Thorsen, Markus J. Tamás et al
Molecular Biology and Evolution. Vol. 26 (6), p. 1299-1307
Journal article
2009

Genetic basis of arsenite and cadmium tolerance in Saccharomyces cerevisiae.

Michael Thorsen, Gabriel G Perrone, Erik Kristiansson et al
BMC Genomics. Vol. 10, p. 105-
Journal article
2009

Testing of Chromosomal Clumping of Gene Properties

L. Fernandez-Ricaud, Daniel Dalevi, A. Blomberg et al
Statistical Applications in Genetics and Molecular Biology. Vol. 8 (1), p. 19 (artno)-
Journal article
2008

Evolutionary conservation of human drug targets in organisms used for environmental risk assessments.

Lina-Maria Gunnarsson, Alexandra Jauhiainen, Erik Kristiansson et al
Environmental Science & Technology. Vol. 42 (15), p. 5807-13
Journal article
2007

Weighted Analysis of General Microarray Experiments

Anders Sjögren, Erik Kristiansson, Mats Rudemo et al
BMC Bioinformatics. Vol. 8, p. 15-
Journal article
2007

PROPHECY—a yeast phenome database, update 2006

Luciano Fernandez-Ricaud, Jonas Warringer, Elke Ericson et al
Nucleic Acids Research. Vol. 35 (SUPPL. 1), p. D463-D467
Journal article
2007

Quantitative transcriptome, proteome and sulfur metabolite profiling of the Saccharomyces cerevisiae response to arsenite

Michael Thorsen, Gilles Lagniel, Erik Kristiansson et al
Physiological Genomics. Vol. 30, p. 35-43
Journal article
2007

Weighted Analysis of General Microarray Experiments

Anders Sjögren, Erik Kristiansson, Mats Rudemo et al
Preprint
2007

Quantitative transcriptome, proteome and sulfur metabolite profiling of the Saccharomyces cerevisiae response to arsenite

Michael Thorsen, Gilles Lagniel, Erik Kristiansson et al
Gordon Research Conference on Metals in Biology, Newport, USA
Conference contribution
2007

Sensitive and robust gene expression changes in fish exposed to estrogen – a microarray approach

Lina-Maria Gunnarsson, Erik Kristiansson, Lars Förlin et al
BMC Genomics. Vol. 8 (149)
Journal article
2006

Genetic pleiotropy in Saccharomyces cerevisiae quantified by high-resolution phenotypic profiling

Elke Ericson, Ilona Pylvänäinen, Luciano Fernandez-Ricaud et al
Molecular Genetics and Genomics. Vol. 275 (6), p. 605-614
Journal article
2006

Quality Optimised Analysis of General Paired Microarray Experiments

Erik Kristiansson, Anders Sjögren, Mats Rudemo et al
Statistical Applications in Genetics and Molecular Biology. Vol. 5 (1), p. i-29
Journal article
2006

Quality Optimised Analysis of General Paired Microarray Experiments

Erik Kristiansson, Anders Sjögren, Mats Rudemo et al
Preprint
2005

PROPHECY - a database for high-resolution phenomics

Luciano Fernandez-Ricaud, Jonas Warringer, Elke Ericson et al
Nucleic Acids Research. Vol. 33 (DATABASE ISS.), p. D369-D373
Journal article
2005

Predictive screening for regulators of conserved functional gene modules (gene batteries) in mammals

Sven Nelander, E. G. Larsson, Erik Kristiansson et al
BMC Genomics. Vol. 6 (1), p. 68-
Journal article
2005

Weighted Analysis of Paired Microarray Experiments

Erik Kristiansson, Anders Sjögren, Mats Rudemo et al
Preprint
2005

Weighted Analysis of Paired Microarray Experiments

Erik Kristiansson, Anders Sjögren, Mats Rudemo et al
Statistical Applications in Genetics and Molecular Biology. Vol. 4 (1)
Journal article
2004

Identifying factors involved in the cellular response to arsenic

Michael Thorsen, Erik Kristiansson, Olle Nerman et al
Yeast Genetics and Molecular Biology Meeting, Seattle, USA
Conference contribution
2004

Identifying factors involved in the cellular response to arsenic

Michael Thorsen, Erik Kristiansson, Olle Nerman et al
Functional Genomics Conference - from birth to death, Göteborg, Sweden
Conference contribution
2003

High-resolution yeast phenomics resolves different physiological features in the saline response

Jonas Warringer, Elke Ericson, Luciano Fernandez et al
Proceedings of Nationall Acadademy of Science U S A. Vol. 100 (26), p. 15724-9
Journal article
2001

Genome-wide Linkage Analysis of Scandinavian Affected Sib-pairs Supports Presence of Susceptibility Loci for Celiac Disease on Chromosomes 5 and 11

Åsa Torinsson Naluai, Staffan Nilsson, Audur Gudjonsdottir et al
European Journal of Human Genetics. Vol. 9 (12), p. 938-944
Journal article
2001

Rat–Mouse and Rat–Human Comparative Maps Based on Gene Homology and High-Resolution Zoo-FISH

Sven Nilsson, Khalil Helou, Anna Walentinsson et al
Genomics. Vol. 74 (3), p. 287-98
Journal article
2000

The CTLA4/CD28 gene region on chromosome 2q33 confers susceptibility to celiac disease in a way possibly distinct from type 1 diabetes and other autoimmune disorders

Åsa Torinsson Naluai, Staffan Nilsson, Lena Samuelsson et al
Tissue Antigen. Vol. 56 (4), p. 350-355
Journal article
1998

Multi-type branching in varying environment

J. D. Biggins, Harry Cohn, Olle Nerman
Preprint
1996

On maximum entropy $\pi$ps-sampling with fixed sample size

Johan Jonasson, Olle Nerman
Preprint

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Showing 1 research projects

2012–2015

Statistical methods to assess driving behaviour and causation of accidents from large naturalistic driving studies

Olle Nerman Applied Mathematics and Statistics
Swedish Research Council (VR)

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