Sentence examples for multiple cancer datasets from inspiring English sources

Open image in new window Figure 3 Low USP33 expression correlates with poor patient survival in multiple cancer datasets.

Since each edge represents a frequently occurring co-expression relationship in multiple cancer datasets, it likely represents a functional link.

In the future, we can expand the candidate target pathways affected by small molecules through the integration of multiple cancer datasets.

They tested multiple cancer datasets and found their algorithm had better performance in comparison to other widely-used classifiers, such as Top Scoring Pair, Support Vector Machines and Prediction Analysis of Microarrays.

The Top Scoring Pair (TSP), k-Top Scoring Pairs (k-TSP), Support Vector Machines (SVM), and prediction analysis of microarrays (PAM) are four popular classifiers that have comparable performance on multiple cancer datasets.

If a cluster of gene pairs follows the same co-expression pattern across multiple cancer datasets, it represents a module of functional links being turned on or off simultaneously across different cancer phenotypes.

Since the identification of regulatory pathways is significantly influenced by those differentially expressed genes from different datasets or different statistical methods, an integration of multiple cancer microarray datasets and identification of the most common pathways from these data would reveal key relationships between crucial genes in carcinogenesis.

The Mc.TGD analyzes multiple cancer microarray datasets.

Existing methods for analyzing multiple cancer microarray datasets may have one or more of the following drawbacks.

Currently, multiple breast cancer datasets are publicly available [ 1, 2, 18, 19].

In this paper, we propose a useful method using signed and normalized ranks to combine results from multiple colorectal cancer datasets.