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Big Data in Omics and Imaging: Integrated Analysis and Causal Inference

Big Data in Omics and Imaging: Integrated Analysis and Causal Inference addresses the recent development of integrated genomic, epigenomic;

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Big Data in Omics and Imaging: Integrated Analysis and Causal Inference

Big Data in Omics and Imaging: Integrated Analysis and Causal Inference addresses the recent development of integrated genomic, epigenomic;

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Big Data in Omics and Imaging: Association Analysis

Big Data in Omics and Imaging: Association Analysis addresses the recent development of association analysis and machine learning for both;

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Big Data in Omics and Imaging: Association Analysis

Big Data in Omics and Imaging: Association Analysis addresses the recent development of association analysis and machine learning for both;

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Big Data in Omics and Imaging, Two Volume Set

to Big Data in Omic and Imaging: Association Analysis, but can be read independently. Introduce causal inference;

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Fundamentals of Advanced Omics Technologies: From Genes to Metabolites

aspects related to chemometrics, bioinformatics, data treatment, data integration and systems biology, deep-sequencing data analysis, statistical;

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Big Data Analysis for Bioinformatics and Biomedical Discoveries

Demystifies Biomedical and Biological Big Data Analyses Big Data Analysis for Bioinformatics and Biomedical Discoveries provides a;

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Big Data Analysis for Bioinformatics and Biomedical Discoveries

Demystifies Biomedical and Biological Big Data Analyses Big Data Analysis for Bioinformatics and Biomedical Discoveries provides a;

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Application of Omics, AI and Blockchain in Bioinformatics Research

in this volume include: clinical bioinformatics, omics-based data analysis, Artificial Intelligence (AI), blockchain, big data analytics, drug;

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Systems Analytics and Integration of Big Omics Data

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Data Analysis for Omic Sciences: Methods and Applications

Data Analysis for Omic Sciences: Methods and Applications, Volume 82, shows how these types of challenging datasets can be analyzed;

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Data Mining and Big Data

organized in topical sections named: association analysis; clustering; prediction; classification; schedule and sequence analysis; big data; data;

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Bioinformatics in Personalized Medicine

integration of Web services; ontologies; analysis and visualization of omics data.;

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Omics Technologies and Bio-engineering: Volume 2

perspectives on omics research, providing in-depth analysis and insights from an international team of authors. The book delivers pivotal information;

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Omics Technologies and Bio-Engineering

perspectives on omics research, providing in-depth analysis and insights from an international team of authors. The book delivers pivotal information;

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Food Authentication and Traceability

, hyperspectral and chemical imaging, molecular and DNA-based techniques, chemometrics and data mining algorithms, high-throughput sequencing, and non;

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Imaging of Brain Tumors, An Issue of Magnetic Resonance Imaging Clinics of North America

Genomics in Glioma; Radiomics and Big Data in Imaging; RANO Criteria and Clinical Endpoints; Gliomas: The New WHO Brain Tumor Pathological;

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Omics Approaches, Technologies And Applications

fingerprinting, RNA Seq and NMR spectroscopy. It entails a chapter focused on the bioinformatics resources for analysis of the omics data. In summary;

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Fundamentals and Applications of Fourier Transform Mass Spectrometry

. Numerous examples help researchers decide which instruments to use for their particular scientific problem and which data analysis methods should;

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Single-Cell Omics

, diverse technologies applied in the topic, such as pangenomics, metabolomics, and multi-omics of single cells, data analysis, and several;

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Integrating Omics Data

assays. As the technologies have become mature and the price affordable, omics data are rapidly generated, and the problem of information;

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Fundamentals of Big Data Network Analysis for Research and Industry

Fundamentals of Big Data Network Analysis for Research and Industry Hyunjoung Lee, Institute of Green Technology, Yonsei University;

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Trends in Communication, Cloud, and Big Data

This book presents the outcomes of the Third National Conference on Communication, Cloud and Big Data (CCB) held on November 2-3, 2018, at;

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Trends in Communication Cloud and Big Data

This book presents the outcomes of the Third National Conference on Communication, Cloud and Big Data (CCB) held on November 2-3, 2018, at;

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OMICS

omics approaches in biofuel production Next-generation sequencing and omics technology for transgenic plant analysis Omics approaches in crop;

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Big Data in Radiation Oncology

fundamental principles and techniques for processing and analysis of big data. Address the use of big data in cancer prevention;

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Big Data in Radiation Oncology

role of big data in the clinic and its impact on radiation therapy. Covers applications in cancer registry, radiomics, patient safety, quality;

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