Titlebook: Soft Computing for Biological Systems; Hemant J. Purohit,Vipin Chandra Kalia,Ravi Prabhak Book 2018 Springer Nature Singapore Pte Ltd. 201

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tein-protein interactions, gene expression and networks. The insights from these studies can be used in metagenomic data analysis and predicting artificial neural networks.978-981-13-3951-6978-981-10-7455-4

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Genomics for Oral Cancer Biomarker Research,s review elaborates the transcriptional biomarkers which are expressed in the process of carcinogenesis. The use of molecular techniques for detection of these biomarkers can aid in early diagnosis and better prognosis. Brief descriptions of relevant computational techniques are given, and databases are indicated.

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Book 2018able information.The book also focuses on using the soft-computing approach to predict protein-protein interactions, gene expression and networks. The insights from these studies can be used in metagenomic data analysis and predicting artificial neural networks.

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Diagnostic Prediction Based on Gene Expression Profiles and Artificial Neural Networks,ded productivity of multi-omics technologies such as gene expression profiling. In order to evaluate a mammoth amount of biomarkers produced by high-throughput technologies, machine learning and predictive approaches such as artificial neural network (ANN) algorithms have widely been utilized to ass