De Ridder Lab
@LabRidder
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Bioinformatics lab | UMC Utrecht, The Netherlands | @UMCU_CMM @oncodeinstitute #Machinelearning #CancerGenomics #Nanopore
UMC Utrecht
Joined July 2022
RT @oncodeinstitute: Research in @Nature! Researchers from @UMCUtrecht and researchers, pathologists and neurosurgeons from the @prinsesmax…
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RT @nanopore: What if you could characterise brain tumours in hours, rather than weeks? And in doing so allow neurosurgeons to adjust their…
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RT @Nature: Nature research paper: Ultra-fast deep-learned CNS tumour classification during surgery
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Check out our latest work “Comprehensive benchmark and architectural analysis of deep learning models for nanopore sequencing basecalling'' 🧬👇
New research from @jeroen_deridder @marcpges @oncodeinstitute focusing on nanopore-based #DNAsequencing and its reliance on basecalling, with the goal of establishing a basecalling benchmark baseline to facilitate the benchmarking of new basecaller tools
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RT @medrxivpreprint: Ultra-fast deep-learned pediatric CNS tumor classification during surgery #medRxiv
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RT @luannnguyen0: Our paper titled “Machine learning-based tissue of origin classification for cancer of unknown primary diagnostics using…
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RT @JoannavonBerg: I'm presenting in the VarI (variant interpretation) COSI, Tuesday 12th of July at 4 pm Madison time. If you have any que…
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RT @JoannavonBerg: I'm at #ISMB2022 to present PolarMorphism, a method to identify pleiotropic SNPs (which affect multiple traits) from GWA…
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RT @oncodeinstitute: Congratulations to Oncode Investigator @jeroen_deridder (@UMCUtrecht) and his research team for successfully finalizin…
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RT @nanopore: .@jeroen_deridder demonstrated the future potential of #WGS CyclomicsSeq which 'integrates multiple signals derived from ctDN…
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