Sentence examples for microarray data causes from inspiring English sources

The nature of relatively high dimensionality but small sample size in microarray data causes the known problem of "curse of dimensionality".

By applying FA, variation in microarray data caused by biological differences can be separated from variation related to the microarray technique.

These results lead us to conclude that the variability in microarray data caused by technical noise is low and its role in statistical methodology of data analysis, exemplified by estimation of correlation coefficients, is far from critical.

However, there almost always exists experimental noise in microarray data, which may cause trivial changes in ordering the expression values.

The popular belief that normalization should be universally applied to microarray data has already caused a great deal of harm to numerous biological and methodological studies.

Microarray data showed that LPS caused an M1-transcriptional pattern, whereas DMPO reduced these changes.

This was substantiated by preliminary protein microarray data showing that DMC treatment caused a dramatic reduction in the levels of many proteins on the Sigma Panorama Cell Signaling antibody array (data not shown).

Probe set redundancy can cause problems for microarray data analysis when different probe sets addressing the same gene produce inconsistent results.

PCC values and its distribution on a given set of experiments can also be affected by the quality of microarray data, where more noise in microarray experiments causes lower PCC values.

The lack of permanency of internal identifiers causes difficulties when combining clinical microarray data collected over time using different versions of the chips.

In our opinion, it is caused by the difference between microarray data and MS data.