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Cellminer cdb

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CellMiner CDB is a lab equipment product designed for cell-based experiments. It provides a platform for automated cell analysis and data collection, enabling researchers to efficiently monitor and study cellular behavior.

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Lab products found in correlation

R version 1, by R Project for Statistical Computing (2 mentions) Stata software version 16, by StataCorp (2 mentions) Prism software version 8, by GraphPad (1 mentions)

2 protocols using cellminer cdb

1

CellMiner CDB and Statistical Analysis

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All figures were generated using CellMiner CDB (16 (link)), GraphPad PRISM software version 8.1.2 (GraphPad Software), R version 1.2.135 (R Foundation for Statistical Computing), and STATA software version 16.0 (Stata-Corp). Box plots in this manuscript were shown by box and Tukey whiskey appearances, unless specifically indicated in figure legends. Methods for statistical analyses were indicated in the manuscript and figure legends and were performed using softwares described above. Overall survival (OS) curves were created by the Kaplan-Meier method and compared by log-rank test. All statistical tests were two-sided.
Takahashi N., Kim S., Schultz C.W., Rajapakse V.N., Zhang Y., Redon C.E., Fu H., Pongor L., Kumar S., Pommier Y., Aladjem M.I, & Thomas A. (2022). Replication Stress Defines Distinct Molecular Subtypes Across Cancers. Cancer Research Communications, 2(6), 503-517.
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2

Comprehensive Statistical Analysis Methods

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All figures were generated using CellMiner CDB (16 (link)), GraphPad PRISM software version 8.1.2 (GraphPad Software), R version 1.2.135 (R Foundation for Statistical Computing), and STATA software version 16.0 (StataCorp). Box plots in this article were shown by Tukey box and whisker plots, unless specifically indicated in figure legends. Methods for statistical analyses were indicated in the article and figure legends and were performed using softwares described above. Overall survival (OS) curves were created by the Kaplan–Meier method and compared by log-rank test. All statistical tests were two sided.
Takahashi N., Kim S., Schultz C.W., Rajapakse V.N., Zhang Y., Redon C.E., Fu H., Pongor L., Kumar S., Pommier Y., Aladjem M.I, & Thomas A. (2022). Replication Stress Defines Distinct Molecular Subtypes Across Cancers. Cancer Research Communications, 2(6), 503-517.
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