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Bioinformatics in MicroRNA Research Softcover reprint of the original 1st ed. 2017 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 285 pages, height x width: 254x178 mm, weight: 566 g, 18 Illustrations, color; 6 Illustrations, black and white; X, 285 p. 24 illus., 18 illus. in color., 1 Paperback / softback
  • Sērija : Methods in Molecular Biology 1617
  • Izdošanas datums: 08-Aug-2018
  • Izdevniecība: Humana Press Inc.
  • ISBN-10: 1493983768
  • ISBN-13: 9781493983766
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Bioinformatics in MicroRNA Research Softcover reprint of the original 1st ed. 2017Palielināt
  • Formāts: Paperback / softback, 285 pages, height x width: 254x178 mm, weight: 566 g, 18 Illustrations, color; 6 Illustrations, black and white; X, 285 p. 24 illus., 18 illus. in color., 1 Paperback / softback
  • Sērija : Methods in Molecular Biology 1617
  • Izdošanas datums: 08-Aug-2018
  • Izdevniecība: Humana Press Inc.
  • ISBN-10: 1493983768
  • ISBN-13: 9781493983766
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9781493983766.html
This thorough volume provides an in-depth introduction to and discussion of microRNAs (miRs) and their targets, miR functions, and computational techniques applied in miR research, thus serving the need for a comprehensive book focusing on miR target genes, miR regulation mechanisms, miR functions performed in various human diseases, and miR databases/knowledgebases. Without prior knowledge of the area of study, computational biologists, computer scientists, bioinformaticians, bench biologists, as well as clinical investigators will find it easy to follow the techniques in this collection. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice that ensures successful results. 

Accessible and practical, Bioinformatics in MicroRNA Research functions as an ideal guide for researchers of all backgrounds to explore this vital area of study.
MicroRNAs, Long Non-Coding RNAs, and Their Functions in Human Disease.-
MicroRNA Expression: Protein Participants in MicroRNA Regulation.- Viral
MicroRNAs, Host MicroRNAs Regulating Viruses, and Bacterial MicroRNA-Like
RNAs.- MicroRNAs: Biomarkers, Diagnostics, and Therapeutics.- Relational
Databases and Biomedical Big Data.- Semantic Technologies and
Bio-Ontologies.- Genome-Wide Analysis of MicroRNA-Regulated Transcripts.-
Computational Prediction of MicroRNA Target Genes, Target Prediction
Databases, and Web Resources.- Exploring MicroRNA::Target Regulatory
Interactions by Computing Technologies.- The Limitations of Existing
Approaches in Improving MicroRNA Target Prediction Accuracy.- Genomic
Regulation of MicroRNA Expression in Disease Development.- Next Generation
Sequencing for MicroRNA Expression Profile.- Handling High-Dimension
(High-Feature) MicroRNA Data.- Effective Removal of Noisy Data Via Batch
Effect Processing.- Logical Reasoning (Inferencing) on MicroRNA Data.-
Machine Learning Techniques in Exploring MicroRNA Gene Discovery, Targets,
and Functions.- Involvement of MicroRNAs in Diabetes and Its
Complications.- MicroRNA Regulatory Networks as Biomarkers in Obesity: The
Emerging Role.- Expression of MicroRNAs in Thyroid Carcinoma.