Výsledky vyhledávání - "Eric Y. Durand"

Akademický článek

Robust evaluation of deep learning-based representation methods for survival and gene essentiality prediction on bulk RNA-seq data

Autor: Baptiste Gross, Antonin Dauvin, Vincent Cabeli, Virgilio Kmetzsch, Jean El Khoury, Gaëtan Dissez, Khalil Ouardini, Simon Grouard, Alec Davi, Regis Loeb, Christian Esposito, Louis Hulot, Ridouane Ghermi, Michael Blum, Yannis Darhi, Eric Y. Durand, Alberto Romagnoni

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)

Abstract Deep learning (DL) has shown potential to provide powerful representations of bulk RNA-seq data in cancer research. However, there is no consensus regarding the impact of design choices of DL approaches on the performance of the learned repr

Externí odkaz: https://doaj.org/article/968f562e2eaa473a80c0d6576df24c54

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Akademický článek

POPS: A Software for Prediction of Population Genetic Structure Using Latent Regression Models

Autor: Flora Jay, Olivier François, Eric Y. Durand, Michael G. B. Blum

Publikováno v: Journal of Statistical Software, Vol 68, Iss 1, Pp 1-19 (2015)

The software POPS performs inference of population genetic structure using multilocus genotypic data. Based on a hierarchical Bayesian framework for latent regression models, POPS implements algorithms that improve estimation of individual admixture

Externí odkaz: https://doaj.org/article/c1039092f3e44d27bcb136dfc9a05278

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Data File S2 from Dose and Schedule Determine Distinct Molecular Mechanisms Underlying the Efficacy of the p53–MDM2 Inhibitor HDM201

Median of the shRNAs and RSA values. File containing median counts and log fold changes of each gene from Supplementary Data File S1. According significance values of each gene as activator or sensitizer compared to DMSO control (see Methods) are inc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9fb2879a6749b92d41888b92af04a38
https://doi.org/10.1158/0008-5472.22420067.v1

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Data from Dose and Schedule Determine Distinct Molecular Mechanisms Underlying the Efficacy of the p53–MDM2 Inhibitor HDM201

Activation of p53 by inhibitors of the p53–MDM2 interaction is being pursued as a therapeutic strategy in p53 wild-type cancers. Here, we report distinct mechanisms by which the novel, potent, and selective inhibitor of the p53–MDM2 interaction H

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::defcbf6d8ab85cdf500b16956270b3ec
https://doi.org/10.1158/0008-5472.c.6510551.v1

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Supplementary material, methods and data from Dose and Schedule Determine Distinct Molecular Mechanisms Underlying the Efficacy of the p53–MDM2 Inhibitor HDM201

Supplementary material and methods include the description for the bioanalytical method for HDM201 detection in plasma and tumor, the human and mouse gene expression analysis in vitro and in vivo, the live-cell quantification of cleaved-caspase activ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b82fed93efadb9ad16a5268c6dd4a1d
https://doi.org/10.1158/0008-5472.22420061

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Biologically relevant integration of transcriptomics profiles from cancer cell lines, patient-derived xenografts and clinical tumors using deep learning

Autor: Slavica Dimitrieva, Rens Janssens, Gang Li, Artur Szalata, Raja Gopal, Chintan Parmar, Audrey Kauffmann, Eric Y. Durand

Cell lines and patient-derived xenografts are essential to cancer research, however, the results derived from such models often lack clinical translatability, as these models do not fully recapitulate the complex cancer biology. It is critically impo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::602ea281a44922a3ef822dd9f196a23e
https://doi.org/10.1101/2022.09.07.506964

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TRAWLING: a Transcriptome Reference Aware of spLIciNG events

Autor: Noemi Di Nanni, Alejandro Reyes, Daniel Ho, Robert Ihry, Audrey Kauffmann, Eric Y. Durand, Antoine de Weck

Alternative splicing is critical for human gene expression regulation and plays an important role in multiple human diseases. In this context, RNA sequencing has emerged as powerful approach to detect alternative splicing events.In parallel, fast ali

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::18e393f462fecdf030412e9bc90937f4
https://doi.org/10.1101/2021.12.03.471115

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Genetic signature of population fragmentation varies with mobility in seven bird species of a fragmented Kenyan cloud forest

Autor: Tom, Callens, Peter, Galbusera, Erik, Matthysen, Eric Y, Durand, Mwangi, Githiru, Jeroen R, Huyghe, Luc, Lens

Publikováno v: Molecular ecology. 20(9)

Habitat fragmentation can restrict geneflow, reduce neighbourhood effective population size, and increase genetic drift and inbreeding in small, isolated habitat remnants. The extent to which habitat fragmentation leads to population fragmentation, h

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::f27a6feb50c3ab8929cbc7fc41f29198
https://pubmed.ncbi.nlm.nih.gov/21634053

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