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pro vyhledávání: '"Gatlin, P."'
Feature selection is vital for identifying relevant variables in classification and regression models, especially in single-cell RNA sequencing (scRNA-seq) data analysis. Traditional methods like LASSO often struggle with the nonlinearities and multi
Externí odkaz:
http://arxiv.org/abs/2408.08867
We present Decapodes, a diagrammatic tool for representing, composing, and solving partial differential equations. Decapodes provides an intuitive diagrammatic representation of the relationships between variables in a system of equations, a method f
Externí odkaz:
http://arxiv.org/abs/2401.17432
Akademický článek
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Akademický článek
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Publikováno v:
Earth and Space Science, Vol 10, Iss 11, Pp n/a-n/a (2023)
Abstract This paper outlines the construction of a new Multiplatform Precipitation Feature (MPF) framework designed to facilitate storm‐based analyses of data sets from multiple independent observing platforms for convective studies. The MPF approa
Externí odkaz:
https://doaj.org/article/68406b65e08446fe886a8385709bc216
Autor:
Oliver Treacy, Hannah Egan, Aideen E Ryan, Li Peng, Michael O’Dwyer, Lizhi Cao, Jenny Che, Wayne Gatlin, Aoise O’Neill, Pushpa Jayaraman
Publikováno v:
Journal for ImmunoTherapy of Cancer, Vol 11, Iss Suppl 1 (2023)
Externí odkaz:
https://doaj.org/article/d61b1d4bdd934ff1afb22cec1d28a816
Publikováno v:
journal of Biomedical Sciences Instrumentation, vol 52, pages 126--133, April 2016, published by ISAs
This paper describes an investigation into part of the mechanical mechanisms underlying the formation of mitotic spindle, the cellular machinery responsible for chromosomal separation during cell division. In normal eukaryotic cells, spindles are com
Externí odkaz:
http://arxiv.org/abs/1905.11451
Autor:
Miller, Daniel Bradford, Gatlin, Jacob, Glisson, William Bradley, Yampolskiy, Mark, McDonald, Jeffrey Todd
The continued adoption of Additive Manufacturing technologies is raising concerns in the security, forensics, and intelligence gathering communities. These concerns range from identifying and mitigating compromised devices, to theft of intellectual p
Externí odkaz:
http://arxiv.org/abs/1901.07507
We propose a new method of instance-level microtubule (MT) tracking in time-lapse image series using recurrent attention. Our novel deep learning algorithm segments individual MTs at each frame. Segmentation results from successive frames are used to
Externí odkaz:
http://arxiv.org/abs/1901.06006
Publikováno v:
Biomedical Sciences Instrumentation 54 (2018) 167-175
Microtubules are inherently dynamic sub-cellular filamentuous polymers that are spatially organized within the cell by motor proteins which cross-link and move microtubules. In-vitro microtubule motility assays, in which motors attached to a surface
Externí odkaz:
http://arxiv.org/abs/1901.03463