{"product_id":"big-data-analytics-in-chemoinformatics-and-bioinformatics-with-applications-to-computer-aided-drug-design-cancer-biology-emerging-pathogens-and-computational-toxicology-paperback-9780323857130","title":"Big Data Analytics in Chemoinformatics and Bioinformatics; With Applications to Computer-Aided Drug Design, Cancer Biology, Emerging Pathogens and Computational Toxicology (Paperback \/ softback) 9780323857130","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eBig Data Analytics in Chemoinformatics and Bioinformatics\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eWith Applications to Computer-Aided Drug Design, Cancer Biology, Emerging Pathogens and Computational Toxicology\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cem\u003eAn up-to-date presentation of big data analytics methods and their applications in diverse fields\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eSubhash C. Basak (Edited by), Marjan Vra?ko (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780323857130, Elsevier Science\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePaperback \/ softback, published 9 December 2022\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e502 pages, 300 illustrations (40 in full color)\u003cbr\u003e22.9 x 15.2 x 3.1 cm, 0.45 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003ci\u003eBig Data Analytics in Chemoinformatics and Bioinformatics: With Applications to Computer-Aided Drug Design, Cancer Biology, Emerging Pathogens and Computational Toxicology\u003c\/i\u003e provides an up-to-date presentation of big data analytics methods and their applications in diverse fields. The proper management of big data for decision-making in scientific and social issues is of paramount importance. This book gives researchers the tools they need to solve big data problems in these fields. It begins with a section on general topics that all readers will find useful and continues with specific sections covering a range of interdisciplinary applications.\u003c\/p\u003e  \u003cp\u003eHere, an international team of leading experts review their respective fields and present their latest research findings, with case studies used throughout to analyze and present key information.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e \u003cb\u003eGENERAL SECTION:\u003c\/b\u003e\u003c\/p\u003e \u003col\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eCHEMOINFORMATICS AND BIOINFORMATICS BY DISCRETE MATHEMATICS AND NUMBERS: An adventure from small data to the realm of emerging big data\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eRobustness Concerns in High-dimensional Data Analysis and Potential Solutions\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eThe Social Face of Big Data: Privacy, Transparency, Bias and Fairness in Algorithms\u003c\/li\u003e  \u003cb\u003e \u003c\/b\u003e\u003cp\u003eCHEMISTRY \u0026amp; CHEMOINFORMATICS SECTION:\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eIntegrating data into a complex Adverse Outcome Pathway\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eBig data and deep learning: extracting and revising chemical knowledge from data\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eRetrosynthetic space persuades by big data descriptors, by Claudiu N Lungu\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eApproaching history of chemistry through big data on chemical reactions and compounds\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eCombinatorial Techniques for Large Data Sets: Hypercubes and Halocarbons\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eDevelopment of QSAR\/QSPR\/QSTR models based on Electrophilicity index: A Conceptual DFT based descriptor \u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003ePharmacophore based virtual screening of large compound databases can aid \"big data\" problems in drug discovery\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eA New Robust Classifier to Detect Hot-Spots and Null-Spots in Protein-Protein Interface: Validation of Binding Pocket and Identification of Inhibitors in in-vitro and in-vivo Models\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eMining Big Data in Drug Discovery – Triaging and Decision Trees\u003c\/li\u003e \u003cb\u003e \u003c\/b\u003e\u003cp\u003eBIOINFORMATICS AND COMPUTATIOANL TOXICOLOGY SECTION: \u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eUse of proteomics data and proteomics based biodescriptors in the estimation of bioactivity\/ toxicity of chemicals and nanosubstances\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eMapping Interaction between Big spaces; active space from Protein structure and available chemical space \u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eArtificial Intelligence, Big Data and Machine Learning approaches in Genome-wide SNP based prediction for Precision Medicine \u0026amp; Drug Discovery\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eApplications of alignment-free sequence descriptors (AFSDs) in the characterization of sequences in the age of big data: A case study with Zika virus, SARS, MERS, and COVID-19\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eScalable QSAR Systems for Predictive Toxicology \u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eFrom big data to complex network: a navigation through the maze of drug-target interaction\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eDissecting big RNA-Seq cancer data using machine learning to find disease-associated genes and the causal mechanism\u003c\/li\u003e \u003c\/ol\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Analytical chemistry [\u003ca title=\"See our other books on Analytical chemistry\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Analytical%20chemistry%20%5BPNF%5D%22\"\u003ePNF\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Elsevier","offers":[{"title":"Default Title","offer_id":46650825081112,"sku":"9780323857130","price":146.49,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9780323857130.jpg?v=1694992294","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/big-data-analytics-in-chemoinformatics-and-bioinformatics-with-applications-to-computer-aided-drug-design-cancer-biology-emerging-pathogens-and-computational-toxicology-paperback-9780323857130","provider":"Freshly Printed Books","version":"1.0","type":"link"}