Soft Computing for Biological Systems

This book explains how the biological systems and their functions are driven by genetic information stored in the DNA, and their expression driven by different factors. The soft computing approach recognizes the different patterns in DNA sequence and try to assign the biological relevance with avail...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Purohit, Hemant J. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Kalia, Vipin Chandra (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), More, Ravi Prabhakar (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Soft Computing for Biological Systems  |h [electronic resource] /  |c edited by Hemant J. Purohit, Vipin Chandra Kalia, Ravi Prabhakar More. 
250 |a 1st ed. 2018. 
264 1 |a Singapore :  |b Springer Singapore :  |b Imprint: Springer,  |c 2018. 
300 |a XII, 300 p. 43 illus., 31 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a 1. Diagnostic prediction based on gene expression profiles and artificial neural networks -- 2. Soft-Computing Approaches to Extract Biologically Significant Gene Network Modules -- 3. A Hybridization of Artificial Bee Colony with Swarming Approach of Bacterial Foraging Optimization for Multiple Sequence Alignment -- 4. Construction Gene Networks Using Gene Expression Profiles -- 5. Bioinformatics tools for shotgun metagenomic data analysis -- 6. Prediction of protein-protein interactions using machine learning techniques -- 7. Protein structure prediction using machine learning approaches -- 8. Drug-transporters as Therapeutic targets: Computational Models, Challenge and Opportunity -- 9. Module-Based Knowledge Discovery for Multiple-Cytosine-Variant Methylation Profile -- 10. Outlook of various soft computing data pre-processing techniques to study the pest population dynamics in Integrated Pest Management -- 11. Genomics for Oral Cancer Biomarker research -- 12. Soft-computing methods and tools for Bacteria DNA Barcoding data analysis -- 13. Fish DNA Barcoding: A comprehensive survey of the Bioinformatics tools and databases. 
520 |a This book explains how the biological systems and their functions are driven by genetic information stored in the DNA, and their expression driven by different factors. The soft computing approach recognizes the different patterns in DNA sequence and try to assign the biological relevance with available 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. 
650 0 |a Bioinformatics. 
650 0 |a Gene expression. 
650 0 |a Biomedical engineering. 
650 0 |a Medical genetics. 
650 1 4 |a Bioinformatics.  |0 http://scigraph.springernature.com/things/product-market-codes/L15001 
650 2 4 |a Gene Expression.  |0 http://scigraph.springernature.com/things/product-market-codes/B12010 
650 2 4 |a Biomedical Engineering/Biotechnology.  |0 http://scigraph.springernature.com/things/product-market-codes/B24000 
650 2 4 |a Computational Biology/Bioinformatics.  |0 http://scigraph.springernature.com/things/product-market-codes/I23050 
650 2 4 |a Gene Function.  |0 http://scigraph.springernature.com/things/product-market-codes/B12030 
700 1 |a Purohit, Hemant J.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Kalia, Vipin Chandra.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a More, Ravi Prabhakar.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9789811074547 
776 0 8 |i Printed edition:  |z 9789811074561 
776 0 8 |i Printed edition:  |z 9789811339516 
856 4 0 |u https://doi.org/10.1007/978-981-10-7455-4  |z Full Text via HEAL-Link 
912 |a ZDB-2-SBL 
950 |a Biomedical and Life Sciences (Springer-11642)