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[null,"1.","Record Nr.",null,"UNINA9910557699503321"]
[null,null,"Autore",null,"Zeng Tao"]
[null,null,"Titolo",null,"Machine Learning Advanced Dynamic Omics Data Analysis for Precision Medicine"]
[null,null,"Pubbl/distr/stampa",null,"Frontiers Media SA, 2020"]
[null,null,"Descrizione fisica",null,"1 online resource (393 p.)"]
[null,null,"Soggetti",null,"Medical genetics"]
[{"$nulls":4},"Science: general issues"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","Precision medicine is being developed as a preventative, diagnostic and treatment tool to combat complex human diseases in a personalized manner. By utilizing high-throughput technologies, dynamic 'omics data including genetics, epi-genetics and even meta-genomics has produced temporal-spatial big biological datasets which can be associated with individual genotypes underlying pathogen progressive phenotypes. It is therefore necessary to investigate how to integrate these multi-scale 'omics datasets to distinguish the novel individual-specific disease causes from conventional cohort-common disease causes. Currently, machine learning plays an important role in biological and biomedical research, especially in the analysis of big 'omics data. However, in contrast to traditional big social data, 'omics datasets are currently always \"small-sample-high-dimension\", which causes overwhelming application problems and also introduces new challenges: (1) Big 'omics datasets can be extremely unbalanced, due to the difficulty of obtaining enough positive samples of such rare mutations or rare diseases; (2) A large number of machine learning models are \"black box,\" which is enough to apply in social applications. However, in biological or biomedical fields, knowledge of the molecular mechanisms underlying any disease or biological study is necessary to deepen our understanding; (3) The genotype-phenotype association is a \"white clue\" captured in conventional big data studies. But identification of \"causality\" rather than association would be more helpful for physicians or biologists, as this can be used to determine an "]
[{"$nulls":4},"experimental target as the subject of future research. Therefore, to simultaneously improve the phenotype discrimination and genotype interpretability for complex diseases, it is necessary: To design and implement new machine learning technologies to integrate prior-knowledge with new 'omics datasets to provide transferable learning methods by combining multiple sources of data; To develop new network-based theories and methods to balance the trade-off between accuracy and interpretability of machine learning in biomedical and biological domains; To enhance the causality inference on \"small-sample high dimension\" data to capture the personalized causal relationship."]
[null,"2.","Record Nr.",null,"UNINA9910338012203321"]
[null,null,"Autore",null,"Wang Wallace"]
[null,null,"Titolo",null,"Pro iPhone Development with Swift 5 : Design and Manage Top Quality Apps / / by Wallace Wang"]
[null,null,"Pubbl/distr/stampa",null,"Berkeley, CA : , : Apress : , : Imprint : Apress, , 2019"]
[null,null,"ISBN",null,"9781484249444"]
[{"$nulls":4},"1484249445"]
[null,null,"Edizione",null,"[2nd ed. 2019.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XIII, 593 p. 217 illus.)"]
[null,null,"Disciplina",null,"004.165"]
[null,null,"Soggetti",null,"Apple computers"]
[{"$nulls":4},"Computer programming"]
[{"$nulls":4},"Apple and iOS"]
[{"$nulls":4},"Programming Techniques"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Chapter 1: Organizing Code -- Chapter 2: Debugging Code -- Chapter 3: Understanding Closures -- Chapter 4: Multithreaded Programming with Grand Central Dispatch -- Chapter 5: Understanding the Application Life Cycle -- Chapter 6: Understanding Data Persistence -- Chapter 7: Passing Data Between Files -- Chapter 8: Translating with Localization -- Chapter 9: Using 3D Touch -- Chapter 10: Detecting Motion and Orientation -- Chapter 11: Using Location and Maps -- Chapter 12: Playing Audio and Video -- Chapter 13: Using the Camera -- Chapter 14:Using WebKit -- Chapter 15: Displaying Animation -- Chapter 16: Using Machine Learning -- Chapter 17: Using Facial and Text Recognition -- Chapter 18: Using Speech -- Chapter 19: Understanding SiriKit -- Chapter 20: Understanding ARKit -- Chapter 21: Interacting with Augmented Reality. ."]
[null,null,null,"Sommario/riassunto","If you’ve already learned the basics of Swift and iOS programming, it’s time to take your skills to the next level. In this follow up work to the best-selling Beginning iPhone Development with Swift, you’ll learn tips for organizing and debugging Swift code, using multi-threaded programming with Grand Central Dispatch, passing data between view controllers, and designing apps for multiple languages. You’ll also see how to play audio and video files, access the camera and save pictures to the Photos library, use location services to pinpoint your position on a map, display web pages, and create animation to spice up any user "]
[{"$nulls":4},"interface. Finally, you’ll learn how to use Apple’s advanced frameworks for machine learning, facial and text recognition, and creating augmented reality apps. Pro iPhone Development with Swift 5 provides insightful instruction on how to improve your existing apps or create powerful new iOS apps using the latest version of the Swift programming language. ."]