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Full coin cell data was acquired using LiNi0.5Mn1.5O4 (LNMO) cathodes with graphite anodes at 25 °C and 55 °C.
The 400 m2 cell data was summarized using principle component analysis to reduce the number of variables.
This has now increased to 31,114 and 64% of the currently available endothelial cell data was new.
Therefore, the endothelial cell data was used to filter out genes expressed by endothelial cells from the CD104 and CD26 transcriptomes.
Pearson correlation between LCM stromal cell data analyzed by Agilent array and Affymetrix MACS-sorted stromal cell data was 0.65, Spearman coefficient was 0.55.
The satellite cell data was normally distributed, with a mean PSI of 7.62 (95% confidence interval (CI) 6.30 to 8.94) satellite cells per sample.
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Histogram plots of single cell data were generated in Excel (Microsoft, Redmond, WA, USA).
Nolan's cell data is derived using an innovative variation on a common cell-sorting technique called flow cytometry.
In 5B and 5C, Cyanobacteria are in blue text, other Bacteria are in black text, the chromatophore (plastid) and the P. ovalis-like cell data are in magenta text, Viridiplantae is in green text, red algae in red text, and chromalveolates in brown text.
Information on stem cell divisions was then plotted against data on cancer incidence in the U.S. (However, reliable stem cell data were not available for several tissue types, which happen to be tissues associated with common cancers, including breast, cervix, endometrium, prostate, bladder, and kidney).
The single cell data were filtered such that signal values less than 1000 were removed.
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