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Molecular & Cellular Oncology|February 22, 2019
Increasing the accuracy of glioblastoma subtypes: Factoring in the tumor's cell of originSven NelanderMathematical Biosciences|March 30, 2016
Travelling wave analysis of a mathematical model of glioblastoma growthPhilip Gerlee, Sven NelanderPlos Computational Biology|June 22, 2012
The impact of phenotypic switching on glioblastoma growth and invasionPhilip Gerlee, Sven NelanderStatistical Applications in Genetics and Molecular Biology|September 2, 2017
FC1000: normalized gene expression changes of systematically perturbed human cellsIngrid M Lönnstedt, Sven NelanderGenome Research|July 19, 2003
Prediction of cell type-specific gene modules: identification and initial characterization of a core set of smooth muscle-specific genesSven Nelander, Petter Mostad, Per LindahlFrontiers in Genetics|August 4, 2022
Optimal Sparsity Selection Based on an Information Criterion for Accurate Gene Regulatory Network InferenceDeniz Seçilmiş, Sven Nelander, Erik L L SonnhammerBioinformatics (Oxford, England)|February 17, 2022
Fast and accurate gene regulatory network inference by normalized least squares regressionThomas Hillerton, Deniz Seçilmiş, Sven Nelander, et al.Genome Biology|January 23, 2008
An improved method for detecting and delineating genomic regions with altered gene expression in cancerBjörn Nilsson, Mikael Johansson, Anders Heyden, et al.Science Translational Medicine|September 2, 2016
Origin of the U87MG glioma cell line: Good news and bad newsMarie Allen, Mia Bjerke, Hanna Edlund, et al.Bioinformatics (Oxford, England)|May 12, 2021
Inferring the experimental design for accurate gene regulatory network inferenceDeniz Seçilmiş, Thomas Hillerton, Sven Nelander, et al.Pageof 8