000			03759nam a22004215i 4500
003			ESmaUEC
006			a||||fo|||| 00| 0
007			cr nn nnnaamaa
040			_aES-MaUEC _bspa _cES-MaUEC
336			_aTexto _btxt _2rdacontent
710	2		_aSpringerLink (Online service) _0http://id.loc.gov/authorities/names/no2005046756 _1http://viaf.org/viaf/148105729 _9106996
999			_c100958 _d100958 _x1
001			100958
005			20230102113019.0
008			180219s2018 si | s |||| 0|eng d
020			_a9789811074554
024	7		_a10.1007/978-981-10-7455-4 _2doi
050		4	_aQH324.2 2018 EB
245	1	0	_aSoft Computing for Biological Systems _cedited by Hemant J. Purohit, Vipin Chandra Kalia, Ravi Prabhakar More.
264		1	_aSingapore _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XII, 300 páginas 43 ilustraciones,31 ilustraciones a color)
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aBiomedical and Life Sciences (Springer-11642)
505	0		_a1. 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	3		_aThis 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		7	_aBioinformática _2embne _9160489
650		7	_9162770 _aExpresión génica _2embne
650		7	_aIngeniería biomédica _9143820 _2embne
700	1		_aPurohit, Hemant J _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/no2001053554
700	1		_aKalia, Vipin Chandra _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/n2015181242 _1http://viaf.org/viaf/314898917 _994146
700	1		_aMore, Ravi Prabhakar _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iEdición impresa: _z9789811074547
776	0	8	_iEdición impresa: _z9789811074561
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-10-7455-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_aSI _b03/2019 _cm _dz _ep _feng _ggw _h0