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020			_a9789811659935
024	7		_a10.1007/978-981-16-5993-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQH447 _b2022 EB
245	1	0	_aMachine Learning and Systems Biology in Genomics and Health _cedited by Shailza Singh.
250			_aFirst edition 2022
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (VII, 236 páginas) _b1 ilustraciones
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
505	0		_aChapter 1: Construction of feedforward multilayer perceptron model for diagnosing leishmaniasis using transcriptome datasets and cognitive computing -- Chapter2- Big data in drug discovery -- Chapter3 - An overview of databases and tools for lncRNA genomics advancing precision medicine -- Chapter 4-Machine Learning in Genomics -- Chapter 5-How Machine Learning has revolutionized the field of Cancer Informatics? -- Chapter 6- Connecting the dots: Using machine learning to Forge Gene Regulatory Networks from large biological datasets -- Chapter 7-Identification of novel Non-coding RNAs in Plants by Big data analysis -- Chapter 8-Artificial Intelligence in Biomedical Image Processing -- Chapter 9- Artificial Intelligence and its Application in Cardiovascular Disease Management.
520			_aThis book discusses the application of machine learning in genomics. Machine Learning offers ample opportunities for Big Data to be assimilated and comprehended effectively using different frameworks. Stratification, diagnosis, classification and survival predictions encompass the different health care regimes representing unique challenges for data pre-processing, model training, refinement of the systems with clinical implications. The book discusses different models for in-depth analysis of different conditions. Machine Learning techniques have revolutionized genomic analysis. Different chapters of the book describe the role of Artificial Intelligence in clinical and genomic diagnostics. It discusses how systems biology is exploited in identifying the genetic markers for drug discovery and disease identification. Myriad number of diseases whether be infectious, metabolic, cancer can be dealt in effectively which combines the different omics data for precision medicine. Major breakthroughs in the field would help reflect more new innovations which are at their pinnacle stage. This book is useful for researchers in the fields of genomics, genetics, computational biology and bioinformatics.
988			_aSpringer_BiomedLife_2022
650		7	_2embne _9164326 _aGenómica
700			_aSingh, Shailza. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9100583
776	0	8	_iPrinted edition: _z9789811659928
776	0	8	_iPrinted edition: _z9789811659942
776	0	8	_iPrinted edition: _z9789811659959
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-5993-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b04/2022 _dz _ep _zSI