Data-driven classification of individual cells by their non-Markovian motion-Reference-Cited by-同舟云学术

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Data-driven classification of individual cells by their non-Markovian motion

Published:2024-05 Issue:10 Volume:123 Page:1173-1183
ISSN:0006-3495
Container-title:Biophysical Journal
language:en
Short-container-title:Biophysical Journal

Author:

Klimek Anton^ORCID,Mondal Debasmita,Block Stephan,Sharma Prerna,Netz Roland R.

Funder

Infosys Technologies Ltd

DBT/Wellcome Trust India Alliance

Deutsche Forschungsgemeinschaft

Commission of the European Communities

Department of Biotechnology, Ministry of Science and Technology, India

European Research Council

Publisher

Elsevier BV

Reference67 articles.

1. Deep transfer learning methods for colon cancer classification in confocal laser microscopy images;Gessert;Int. J. Comput. Assist. Radiol. Surg.,2019

2. Classifying cancers based on T-cell infiltration and PD-L1;Teng;Cancer Res.,2015

3. Single-cell classification of foodborne pathogens using hyperspectral microscope imaging coupled with deep learning frameworks;Kang;Sensor. Actuator. B Chem.,2020

4. Derivation and reliability of kinematic measures of sperm motion;Davis;Reprod. Fertil. Dev.,1995

5. Neuronal cell-type classification: challenges, opportunities and the path forward;Zeng;Nat. Rev. Neurosci.,2017

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Derivation of the nonequilibrium generalized Langevin equation from a time-dependent many-body Hamiltonian;Physical Review E;2024-07-17

2. Cell migration: Beyond Brownian motion;Biophysical Journal;2024-05

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