Benno Schwikowski @bennos
Researcher in #SystemsBiology at @InstitutPasteur Paris, France Joined December 2008-
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Comparative evaluation of feature reduction methods for drug response prediction @SciReports 1. This study is the first to compare nine feature reduction (FR) methods for drug response prediction (DRP) on cell line and tumor transcriptomes, using over 6,000 machine learning (ML)…
Winter-meeting for the PARIS-project Copenhagen. #ovariancancer @bennos, @AnnaVaharautio, @WennerbergLab, @Gynkreft, @reachoutinova, @PrecosL, @haukeland_no, @K_Kleinmanns @forskningsradet, @medofak_uib, @ERAPER (PARIS = Precision drugs Against Resistance In Subpopulations)
Together with @bennos team @institutpasteur we study ensembles of bivariate monotone classifiers for biomedical applications. In this @biorxivpreprint we present a preprocessing step that speeds up their construction by factor 10-20: doi.org/10.1101/2023.0…
Our paper on #scRNAseq analysis of #chemoresistance in #ovariancancer is out today in @ScienceAdvances! Many thanks to @Sampsa_H @AnnaVaharautio AnttiHakkinen @e_p_erkan @SanazJamalzadeh and all co-authors for your great contribution! science.org/doi/10.1126/sc… (1/3)
Excited to share our preprint on pan-cancer analysis of intra-tumor heterogeneity (ITH), led by Avishai Gavish and Mike Tyler. After exploring ITH in small patient cohorts, we now curated scRNA-seq data from >1,000 tumors to broadly define ITH patterns. biorxiv.org/content/10.110…
Preclinical models are important tools in #ovariancancer research. We here describe how to generate xenograft models. @medofak_uib @haukeland_no @reachoutinova @Gynkreft @Kreftforeningen @georgewbasj #CCBIO link.springer.com/protocol/10.10…
#Cancer : comment l’IA peut améliorer la prise en charge du cancer de l’ovaire ? Pour en savoir plus ➡️ ow.ly/OKVe50GVpr0
Register now for this free online training school by TranSYS @institutpasteur h2020transys.eu/transys-data-a… #dataanalysis #precisionmedicine #itn #school #training
Pleased to inform that our 1st @deciderproject article is published. Fascinating what AI can achieve @precisionpathology. Artificial intelligence-based image analysis can predict outcome in high-grade serous carcinoma via histology alone disq.us/t/41hgk1e
Excellent review on platinum resistance by Huang et al. in @oncogenejournal. Systematic literature search resulted in >900 #PlatinumResistance related genes conveniently stored in a database. #SBLread, @HautaniemiLab, @deciderproject, @HerculesOvCa. rdcu.be/czD19
I am grateful to EU #H2020 for supporting our #ovariancancer research. The main goals of @deciderproject are 1) understand mechanisms causing chemoresistance in #ovariancancer patients and 2) deliver tools for personalized diagnosis and treatment options.
I am grateful to EU #H2020 for supporting our #ovariancancer research. The main goals of @deciderproject are 1) understand mechanisms causing chemoresistance in #ovariancancer patients and 2) deliver tools for personalized diagnosis and treatment options.
Did you ever wonder how well pathway and transcription factor analysis work for scRNA-seq data? Christian Holland (@mr_netherlands) et al. shed light on this question in our latest preprint [biorxiv.org/content/10.110…]. 1/6
Our lab's debut paper in single cell transcriptomics, co-led by our shared PhD student @bost_pierre. Congratulations, Pierre!
Our lab's debut paper in single cell transcriptomics, co-led by our shared PhD student @bost_pierre. Congratulations, Pierre!
Our lab at @institutpasteur in Paris has open #postdoc positions at the interface of statistical data analysis and cancer/autoimmune disease. tinyurl.com/ipsysbio #bioinformatics #jobs
Finding high-scoring subnetworks is (still) a hard problem! Why? See our new paper at authors.elsevier.com/a/1WD283juFrV6…
Different levels of #omics data visualized in @HerculesOvCa project
Interesting new Sage-DREAM challenge to find the (best method to find) the networks (not just the genes) involved in BREAST cancer #sagecon
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