图书简介
Big Data Analytics in Chemoinformatics and Bioinformatics: With Applications to Computer-Aided Drug Design, Cancer Biology, Emerging Pathogens and Computational Toxicology 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. Here, 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.
GENERAL TOPICS 1. Neural Net, Genetic Algorithm and Pattern Recognition in Big Data Analysis 2. Robustness Concerns in High-dimensional Data Analysis and Potential Solutions 3. The Social Face of Big Data: Privacy, Transparency, Bias and Fairness in Algorithms SPECIFIC AREAS: CHEMISTRY AND CHEMOINFORMATICS 4. Chemistry by Discrete Math and Numbers: Structure Characterization and Property / Bioactivity/ Toxicity Prediction 5. Integrating of Data into a Complex Adverse Outcome Pathway 6. Big Data and Deep Learning: Extracting and Revising Chemical Knowledge from Data 7. Retrosynthetic Space Persuaded by Big Data Descriptors 8. Approaching History of Chemistry through Big Data on Chemical Reactions and Compounds 9. Quantum Molecular Dynamics, Topological, Group Theoretical and Graph Theoretical Studies of Protein-Protein Interactions 10. Development of QSAR / QSPR / QSTR Models Based on Conceptual DFT Based Reactivity Descriptors 11. Pharmacophore Based Virtual Screening of Large Compound Databases Can Aid "Big Data" Problems in Drug Discovery 12. Druggability Assessment of the Hot-Spots in the Protein-Protein Interface Using Machine Learning Algorithms 13. Multi-modal Classification and Fuzzy Logic Techniques in the Analysis of Large Data Sets in Drug Discovery BIOINFORMATICS AND COMPUTATIONAL TOXICOLOGY 14. Use of Proteomics Data and Proteomics Based Biodescriptors in the Estimation Of Bioactivity/ Toxicity of Chemicals 15. Mapping Interaction between Big spaces; Active Space from Protein Structure and Available Chemical Space 16. Big Data, AI and Machine Learning Approaches in Genome-wide SNP Based Prediction for Precision Medicine and Drug Discovery 17. Dissecting Big RNA-sequence Cancer Database Using Machine Learning Tool to Find Disease-Associated Genes and the Causal Mechanism of Disease 18. Mathematical Sequence Descriptors in the Characterization of Emerging Global Pathogens: A Case Study with the Zika Virus 19. Scalable QSAR Systems for Predictive Toxicology 20. Network Models for Describing Disparate Big Data for Proteins: From Sequence and Structures to Interactions
Trade Policy 买家须知
- 关于产品:
- ● 正版保障:本网站隶属于中国国际图书贸易集团公司,确保所有图书都是100%正版。
- ● 环保纸张:进口图书大多使用的都是环保轻型张,颜色偏黄,重量比较轻。
- ● 毛边版:即书翻页的地方,故意做成了参差不齐的样子,一般为精装版,更具收藏价值。
关于退换货:
- 由于预订产品的特殊性,采购订单正式发订后,买方不得无故取消全部或部分产品的订购。
- 由于进口图书的特殊性,发生以下情况的,请直接拒收货物,由快递返回:
- ● 外包装破损/发错货/少发货/图书外观破损/图书配件不全(例如:光盘等)
并请在工作日通过电话400-008-1110联系我们。
- 签收后,如发生以下情况,请在签收后的5个工作日内联系客服办理退换货:
- ● 缺页/错页/错印/脱线
关于发货时间:
- 一般情况下:
- ●【现货】 下单后48小时内由北京(库房)发出快递。
- ●【预订】【预售】下单后国外发货,到货时间预计5-8周左右,店铺默认中通快递,如需顺丰快递邮费到付。
- ● 需要开具发票的客户,发货时间可能在上述基础上再延后1-2个工作日(紧急发票需求,请联系010-68433105/3213);
- ● 如遇其他特殊原因,对发货时间有影响的,我们会第一时间在网站公告,敬请留意。
关于到货时间:
- 由于进口图书入境入库后,都是委托第三方快递发货,所以我们只能保证在规定时间内发出,但无法为您保证确切的到货时间。
- ● 主要城市一般2-4天
- ● 偏远地区一般4-7天
关于接听咨询电话的时间:
- 010-68433105/3213正常接听咨询电话的时间为:周一至周五上午8:30~下午5:00,周六、日及法定节假日休息,将无法接听来电,敬请谅解。
- 其它时间您也可以通过邮件联系我们:customer@readgo.cn,工作日会优先处理。
关于快递:
- ● 已付款订单:主要由中通、宅急送负责派送,订单进度查询请拨打010-68433105/3213。
本书暂无推荐
本书暂无推荐