Vincent Gardeux
@gardeux_vincent
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Senior Scientist
EPFL, Lausanne, Switzerland
Joined February 2011
I am often invited to review papers on deep learning for medical images. Unfortunately many papers do the same mistake; they split data into training/validation/test on the slice/image/patch level instead of on the patient level. This will lead to inflated test scores, as images
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A few days left to register with early bird rate to our @BC2Conference @ISBSIB workshop "Standardization of single-cell metadata: an Open Research Data initiative" with Jason Hilton of @cellxgene & David Osumi-Sutherland @emblebi #SingleCell #FAIRdata
https://t.co/s41NDrzxn8
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Happy to finally share this work. It started as a side project during the lockdown, but then took on a life of its own. https://t.co/MgLCjc9KN0 A thread 🧵 :
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Among the new SIB Resources, ASAP, the Automated #Singlecell Analysis Portal, is now presented at the SAB meeting, with SIB's @gardeux_vincent from @BartDeplancke's group @EPFL. Looking to analyze single-cell #omics data? Check the resource out: https://t.co/s4in73Dmcs
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The reasons are simple: PhDs don't want to move to a random city for 1-2 years for a job that pays only $50K.
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Half-time retreat Day#3 (students' perspective) with @gardeux_vincent @EPFL "Hands-on session on analyzing single-cell data" @MSCActions
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No time to get bored. Half-time retreat Day#3 with Vincent Gardeux @gardeux_vincent @EPFL Maira Ihsan @emblebi and Judith Zaugg @zauggj @embl
@MSCActions
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Fly Cell Atlas is out!! check BioRxiv and https://t.co/fCvyPRVPe3; thanks everyone #FCAconsortium. https://t.co/QsozJrl7TW
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C’est avec tristesse et émotion que la Ligue contre le cancer vient d’apprendre le décès d’Axel Kahn.
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EPFL Professor Andrea Ablasser from @epflSV shares the Leenaards Foundation 2020 Science Prize with Professor Michel Gilliet from the @CHUVLausanne. Their project aims to gain insight into the causes and effects of an overactive innate immune system.
actu.epfl.ch
EPFL Professor Andrea Ablasser shares the Prize with Professor Michel Gilliet from the CHUV. Their project aims to gain insight into the causes and effects of an overactive innate immune system in...
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Proud of this huge collaborative effort by @PhilipVkovski, Mitra @Silvio_Steiner, @JN_Kelly @ProfVolkerThiel @satyagrakha, and all other coauthors. Inspired by earlier work by @VirusesImmunity. @unibern @HonoursI #virology #COVID19
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Our exciting work together with @DijkmanRonald shows that we can reliably detect #HCoV2 viral transcripts in infected human cells using BRB-seq ( https://t.co/36ZC3YkDV0) even at the early stage. Affordable #transcriptomics opens a great perspective for mass #COVID19 diagnostics
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We’re excited to release a Seurat update with support for Spatial Transcriptomics data! Includes clustering, interactive visualization, and integration with scRNA-seq references. Check out our vignette on @10xGenomics Visium data: https://t.co/jWPypTHvvi
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A new paper in @eLife by @davidsuter_epfl shows how by #pluripotency transcription factors dynamically regulate #chromatin accessibility across the cell cycle
elifesciences.org
OCT4 and SOX2 display partially independent activity to regulate chromatin accessibility, and highly dynamic activity of OCT4 is required throughout the cell cycle to maintain pluripotency enhancer...
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Nb Peaks called by MACS2 on ATAC-seq data vs depth of sample (from 100k reads to 100M). Does it make any sense? Is there an euclidean division/modulo in the model?
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