Zobrazeno 1 - 10
of 171
pro vyhledávání: '"Hejblum, Boris P"'
Post-clustering inference in scRNA-seq analysis presents significant challenges in controlling Type I error during Differential Expression Analysis. Data fission, a promising approach, aims to split the data into two new independent parts, but relies
Externí odkaz:
http://arxiv.org/abs/2405.13591
Clustering is part of unsupervised analysis methods that consist in grouping samples into homogeneous and separate subgroups of observations also called clusters. To interpret the clusters, statistical hypothesis testing is often used to infer the va
Externí odkaz:
http://arxiv.org/abs/2210.13172
This paper is focused on the study of entropic regularization in optimal transport as a smoothing method for Wasserstein estimators, through the prism of the classical tradeoff between approximation and estimation errors in statistics. Wasserstein es
Externí odkaz:
http://arxiv.org/abs/2210.06934
Publikováno v:
In Computational Statistics and Data Analysis May 2024 193
Publikováno v:
Biostatistics-2022
When evaluating the effectiveness of a treatment, policy, or intervention, the desired measure of effectiveness may be expensive to collect, not routinely available, or may take a long time to occur. In these cases, it is sometimes possible to identi
Externí odkaz:
http://arxiv.org/abs/2012.01236
Autor:
Colas, Cédric, Hejblum, Boris, Rouillon, Sébastien, Thiébaut, Rodolphe, Oudeyer, Pierre-Yves, Moulin-Frier, Clément, Prague, Mélanie
Publikováno v:
Journal of Artificial Intelligence Research-2021
Epidemiologists model the dynamics of epidemics in order to propose control strategies based on pharmaceutical and non-pharmaceutical interventions (contact limitation, lock down, vaccination, etc). Hand-designing such strategies is not trivial becau
Externí odkaz:
http://arxiv.org/abs/2010.04452
Publikováno v:
The R Journal (2021)
Implementations in R of classical general-purpose algorithms for local optimization generally have two major limitations which cause difficulties in applications to complex problems: too loose convergence criteria and too long calculation time. By re
Externí odkaz:
http://arxiv.org/abs/2009.03840
The automated analysis of flow cytometry measurements is an active research field. We introduce a new algorithm, referred to as CytOpT, using regularized optimal transport to directly estimate the different cell population proportions from a biologic
Externí odkaz:
http://arxiv.org/abs/2006.09003
Akademický článek
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Autor:
Hejblum, Boris P., Alkhassim, Chariff, Gottardo, Raphael, Caron, François, Thiébaut, Rodolphe
Publikováno v:
Annals of Applied Statistics-2019
Flow cytometry is a high-throughput technology used to quantify multiple surface and intracellular markers at the level of a single cell. This enables to identify cell sub-types, and to determine their relative proportions. Improvements of this techn
Externí odkaz:
http://arxiv.org/abs/1702.04407