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pro vyhledávání: '"Holmes, Susan P."'
Autor:
Drnevich, Jenny, Tan, Frederick J., Almeida-Silva, Fabricio, Castelo, Robert, Culhane, Aedin C., Davis, Sean, Doyle, Maria A., Holmes, Susan, Lahti, Leo, Mahmoud, Alexandru, Nishida, Kozo, Ramos, Marcel, Rue-Albrecht, Kevin, Shih, David J. H., Gatto, Laurent, Soneson, Charlotte
Modern biological research is increasingly data-intensive, leading to a growing demand for effective training in biological data science. In this article, we provide an overview of key resources and best practices available within the Bioconductor pr
Externí odkaz:
http://arxiv.org/abs/2410.01351
Autor:
Sankaran, Kris, Holmes, Susan P.
By linking conceptual theories with observed data, generative models can support reasoning in complex situations. They have come to play a central role both within and beyond statistics, providing the basis for power analysis in molecular biology, th
Externí odkaz:
http://arxiv.org/abs/2208.06011
Pooled testing offers an efficient solution to the unprecedented testing demands of the COVID-19 pandemic, although with potentially lower sensitivity and increased costs to implementation in some settings. Assessments of this trade-off typically ass
Externí odkaz:
http://arxiv.org/abs/2107.05619
High throughput sequencing (HTS)-based technology enables identifying and quantifying non-culturable microbial organisms in all environments. Microbial sequences have enhanced our understanding of the human microbiome, the soil and plant environment,
Externí odkaz:
http://arxiv.org/abs/2103.04198
Autor:
Donnat, Claire, Holmes, Susan
The correct evaluation of the reproductive number $R$ for COVID-19 -- which characterizes the average number of secondary cases generated by each typical primary case -- is central in the quantification of the potential scope of the pandemic and the
Externí odkaz:
http://arxiv.org/abs/2004.05272
Autor:
Miolane, Nina, Brigant, Alice Le, Mathe, Johan, Hou, Benjamin, Guigui, Nicolas, Thanwerdas, Yann, Heyder, Stefan, Peltre, Olivier, Koep, Niklas, Zaatiti, Hadi, Hajri, Hatem, Cabanes, Yann, Gerald, Thomas, Chauchat, Paul, Shewmake, Christian, Kainz, Bernhard, Donnat, Claire, Holmes, Susan, Pennec, Xavier
We introduce Geomstats, an open-source Python toolbox for computations and statistics on nonlinear manifolds, such as hyperbolic spaces, spaces of symmetric positive definite matrices, Lie groups of transformations, and many more. We provide object-o
Externí odkaz:
http://arxiv.org/abs/2004.04667
Autor:
Fang, Xiao, Gan, Han Liang, Holmes, Susan, Huang, Haiyan, Peköz, Erol, Röllin, Adrian, Tang, Wenpin
A classical result for the simple symmetric random walk with $2n$ steps is that the number of steps above the origin, the time of the last visit to the origin, and the time of the maximum height all have exactly the same distribution and converge whe
Externí odkaz:
http://arxiv.org/abs/2001.08857
Akademický článek
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Learning Weighted Submanifolds with Variational Autoencoders and Riemannian Variational Autoencoders
Autor:
Miolane, Nina, Holmes, Susan
Manifold-valued data naturally arises in medical imaging. In cognitive neuroscience, for instance, brain connectomes base the analysis of coactivation patterns between different brain regions on the analysis of the correlations of their functional Ma
Externí odkaz:
http://arxiv.org/abs/1911.08147
Cryo-electron microscopy (cryo-EM) is capable of producing reconstructed 3D images of biomolecules at near-atomic resolution. As such, it represents one of the most promising imaging techniques in structural biology. However, raw cryo-EM images are o
Externí odkaz:
http://arxiv.org/abs/1911.08121