Sentence examples for many microarray data from inspiring English sources

Lee, H. K., Hsu, A. K., Sajdak, J., Qin, J. & Pavlidis, P. Coexpression analysis of human genes across many microarray data sets.

The identification of genes associated with cancer development and progression is a central goal for many microarray data analysis projects [1] [4].

For this contribution, we mainly focused on breast cancer because it is one of the most extensively studied cancer types for which many microarray data sets are publicly available.

Indeed gene co-expression is conserved across many microarray data sets [ 22].

Feature selection has been used in many microarray data analyses in both supervised learning (classification) and unsupervised learning (clustering) contexts.

Our hypothesis suggests that, in many microarray data sets, there is substantial additional biological information contained in the features that remain after the first optimal set is removed.

However, many microarray data-sets are not comparable due to various reasons.

This site provides deep and total access to many massive microarray data sets, many with a focus on the genetics and genomics of alcoholism (Bhave et al., 2007).

For many microarray cancer data sets, the survival information of patients after diagnosis is also provided.

This analysis method was originally developed for identifying co-expressed gene clusters in many DNA microarray data analyses [33], [34].

There are overwhelming data available for the yeast genome, including many public microarray data, complete promoter sequences, whole-genome transcription factor binding (ChIP-chip) data, protein-protein interactions, just to name a few.