Johan Lindholm

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Researchers use community-detection algorithms to reveal large-scale organization in biological and social networks, but community detection is useful only if the communities are significant and not a result of noisy data. To assess the statistical significance of the network communities, or the robustness of the detected structure, one approach is to(More)
Thea im of theU S DefenseA dvance Research Project Agency`s (DARPA) Active Authenticationprogram is thecontinuous authenticationofusers by usingb ehavioral biometrics authentications ystems, which does not depend on specific hardware or sensors. This paper presents how such ac ontinuous authenticationsystemwouldperform in an office like environment.(More)
BACKGROUND Predicting the prognosis of prostate cancer disease through gene expression analysis is receiving increasing interest. In many cases, such analyses are based on formalin-fixed, paraffin embedded (FFPE) core needle biopsy material on which Gleason grading for diagnosis has been conducted. Since each patient typically has multiple biopsy samples,(More)
BACKGROUND A previously reported expression signature of three genes (IGFBP3, F3 and VGLL3) was shown to have potential prognostic value in estimating overall and cancer-specific survivals at diagnosis of prostate cancer in a pilot cohort study using freshly frozen Fine Needle Aspiration (FNA) samples. METHODS We carried out a new cohort study with 241(More)
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