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003			ES-MaUEC
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007			cr nn 008mamaa
008			170828s2017 xxu| o |||| 0|eng d
020			_a9781493970278
024	7		_a10.1007/978-1-4939-7027-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQH324.2 _b2017 EB
245	0	0	_aBiological Networks and Pathway Analysis _cedited by Tatiana V. Tatarinova, Yuri Nikolsky
250			_a1st edition 2017
264		1	_aNew York, NY _bSpringer International Publishing _c2017
300			_a1 recurso en línea (XIV, 509 páginas) _b110 ilustraciones, 98 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aMethods in Molecular Biology _x1940-6029 _v1613
505	0		_aA Practical Guide to Quantitative Interactor Screening with Next-Generation Sequencing (QIS-Seq) -- sbv IMPROVER: Modern Approach to Systems Biology -- Mathematical Justification of Expression-Based Pathway Activation Scoring (PAS) -- Bioinformatics Meets Biomedicine: OncoFinder, a Quantitative Approach for Interrogating Molecular Pathways Using Gene Expression Data -- Strategic Integration of Multiple Bioinformatics Resources for System Level Analysis of Biological Networks -- Functional Analysis of OMICs Data and Small Molecule Compounds in an Integrated "Knowledge-Based" Platform -- Extracting the Strongest Signals from Omics Data: Differentially Expressed Pathways and Beyond -- Search for Master Regulators in Walking Cancer Pathways -- Mathematical Modeling of Avidity Distribution and Estimating General Binding Properties of Transcription Factors from Genome-Wide Binding Profiles -- A Weighted SNP Correlation Network Method for Estimating Polygenic Risk Scores -- Analysis of cis-Regulatory Elements in Gene Co-Expression Networks in Cancer -- Applying Association Rule Mining Techniquest to Predict Procaryotic Metabolic Pathways -- ArrayTrack: An FDA and Public Genomic Tool -- Identification of Transcriptional Regulators of Psoriasis from RNA-Seq Experiments -- Comprehensive Analyses of Tissue-Specific Networks with Implications to Psychiatric Diseases -- Semantic Data Integration and Knowledge Management to Represent Biological Network Associations -- Knowledge-Based Compact Disease Models: A Rapid Path from High-Throughput Data to Understanding Causative Mechanisms for a Complex Disease -- Pharmacologic Manipulation of Wnt Signaling and Cancer Stem Cells -- Functional Network Disruptions in Schizophrenia.
520			_aIn this volume, expert practitioners present a compilation of methods of functional data analysis (often referred to as "systems biology") and its applications in drug discovery, medicine, and basic disease research. It covers such important issues as the elucidation of protein, compound and gene interactions, as well as analytical tools, including networks, interactome and ontologies, and clinical applications of functional analysis. As a volume in the highly successful Methods in Molecular Biology series, this work provides detailed description and hands-on implementation advice. Reputable, comprehensive, and cutting-edge, Biological Networks and Pathway Analysis presents both "wet lab" experimental methods and computational tools in order to cover a broad spectrum of issues in this fascinating new field.
988			_aSpringer_Protocols_2017
650		7	_2embne _9160489 _aBioinformática
776	0	8	_iPrinted edition: _z9781493970254
776	0	8	_iPrinted edition: _z9781493970261
776	0	8	_iPrinted edition: _z9781493983728
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-4939-7027-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2024 _dz _eIG _zSI