* Mining Protein Expression Databases Using Network Meta-Analysis.
- Public databases featuring original, raw data from "Omics" experiments enable researchers to perform meta-analyses by combining either the raw data or the summarized results of several independent studies. In proteomics, high-throughput protein expression data is measured by diverse techniques such as mass spectrometry, 2-D gel electrophoresis or protein arrays yielding data of different scales. Therefore, direct data merging can be problematic, and combining the summarized data of the individual studies can be advantageous. A special form of meta-analysis is network meta-analysis, where studies with different settings of experimental groups can be combined. However, all studies must be linked by one experimental group that has to appear in each study. Usually that is the control group. Then, a study network is formed and indirect statistical inferences can also be made between study groups that appear not in each of the studies.In this chapter, we describe the working principle of and available software for network meta-analysis. The applicability to high-throughput protein expression data is demonstrated in an example from breast cancer research. We also describe the special challenges when applying this method.
=>一団にする, 集める, 分派, 集団, グループ, 分類する, 演奏家グループ, 集まる, 分ける
Overview of noun group
The noun group has 3 senses (first 2 from tagged texts)
1. (1345) group, grouping -- (any number of entities (members) considered as a unit)
2. (1) group, radical, chemical group -- ((chemistry) two or more atoms bound together as a single
unit and forming part of a molecule)
3. group, mathematical group -- (a set that is closed, associative, has an identity element and
every element has an inverse)
Overview of verb group
The verb group has 2 senses (first 2 from tagged texts)
1. (4) group -- (arrange into a group or groups; "Can you group these shapes together?")
2. (1) group, aggroup -- (form a group or group together)
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