Jaakko Nevalainen

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Organotypic, three dimensional (3D) cell culture models of epithelial tumour types such as prostate cancer recapitulate key aspects of the architecture and histology of solid cancers. Morphometric analysis of multicellular 3D organoids is particularly important when additional components such as the extracellular matrix and tumour microenvironment are(More)
INTRODUCTION Locomotor activity recordings are widely used in different physiological and pharmacological studies. There are two mainly used methods - radiotelemetry and photobeam recording systems. To our knowledge, these methods have not previously been directly and simultaneously compared. METHODS The current study consisted of a comparison of(More)
Classical multivariate statistical inference methods are often based on the sample mean vector and covariance matrix. They are then optimal under the assumption of multivariate normality but loose in efficiency in the case of heavy tailed distribution. In this paper non-parametric and robust competitors based on the spatial signs and ranks are discussed and(More)
The importance of lipids for cell function and health has been widely recognized, e.g., a disorder in the lipid composition of cells has been related to atherosclerosis caused cardiovascular disease (CVD). Lipidomics analyses are characterized by large yet not a huge number of mutually correlated variables measured and their associations to outcomes are(More)
Lipidomics is an emerging field of science that holds the potential to provide a readout of biomarkers for an early detection of a disease. Our objective was to identify an efficient statistical methodology for lipidomics-especially in finding interpretable and predictive biomarkers useful for clinical practice. In two case studies, we address the need for(More)
A major challenge of genomics data is to detect interactions displaying functional associations from large-scale observations. In this study, a new cPLS-algorithm combining partial least squares approach with negative binomial regression is suggested to reconstruct a genomic association network for high-dimensional next-generation sequencing count data. The(More)
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