Computational approaches for high‐throughput single‐cell data analysis-Reference-Cited by-同舟云学术

Computational approaches for high‐throughput single‐cell data analysis

Published:2018-08-30 Issue:8 Volume:286 Page:1451-1467
ISSN:1742-464X
Container-title:The FEBS Journal
language:en
Short-container-title:FEBS J

Author:

Todorov Helena¹²³,Saeys Yvan¹²

Affiliation:

1. Data Mining and Modelling for Biomedicine VIB Center for Inflammation Research Ghent Belgium

2. Department of Applied Mathematics, Computer Science and Statistics Ghent University Belgium

3. Centre International de Recherche en Infectiologie Inserm U1111, Université Claude Bernard Lyon 1 CNRS, UMR5308 École Normale Supérieure de Lyon Univ Lyon France

Funder

Universiteit Gent

Publisher

Wiley

Subject

Cell Biology,Molecular Biology,Biochemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/febs.14613

Reference128 articles.

1. Imaging Live-Cell Dynamics and Structure at the Single-Molecule Level

2. High content screening applied to large-scale cell biology

3. High-Throughput, Automated Image Processing for Large-Scale Fluorescence Microscopy Experiments

4. Improved structure, function and compatibility for CellProfiler: modular high-throughput image analysis software

5. Electronic Separation of Biological Cells by Volume

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