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- W3039490610 abstract "The practice of bioinformatics involves the collection, classification, storage and analysis of biological and biomedical information—using computers. Some of the specific areas in which these processes are applied include genomics and genetics. Also, an example of the specific data targeted by bioinformatics involves genetic codes. This paper has reviewed the concept of network analysis and its application in bioinformatics. Indeed, the process of network analysis has evolved with the aim of addressing the problem of using prior biological knowledge and expression data to establish differentially expressed gene or pathway groups. In particular, gene interaction networks and their related analysis processes have aided in searching for high-scoring sub-networks. From the findings reported in most of the previous scholarly studies, it can be inferred that there is increasing improvement in the network analysis process; including search algorithms and scoring functions (such as the incorporation of averaging gene expression). When these improvements are achieved, network analysis exhibits higher accuracy and speed, as well as easier biological interpretations. Examples of human microarray datasets on which the network analysis idea has been applied include serum data, regulatory T-cell data, and lymphocyte data; especially that which is related to the immune system and cancer. In summary, the review has established that network analysis continues to play an important role in bioinformatics in such a way that improved search algorithms and scoring functions have led to improvements in the speed and accuracy of identifying biological process- and disease-related pathways or genes." @default.
- W3039490610 created "2020-07-10" @default.
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- W3039490610 date "2020-01-01" @default.
- W3039490610 modified "2023-10-16" @default.
- W3039490610 title "Applications of Network Analysis in Bioinformatics" @default.
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- W3039490610 doi "https://doi.org/10.1007/978-3-030-46943-6_9" @default.
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