[PDF] Application Of Novel Statistical And Machine Learning Methods To High Dimensional Clinical Cancer And Multi Omics Data - eBooks Review

Application Of Novel Statistical And Machine Learning Methods To High Dimensional Clinical Cancer And Multi Omics Data


Application Of Novel Statistical And Machine Learning Methods To High Dimensional Clinical Cancer And Multi Omics Data
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Application Of Novel Statistical And Machine Learning Methods To High Dimensional Clinical Cancer And Multi Omics Data


Application Of Novel Statistical And Machine Learning Methods To High Dimensional Clinical Cancer And Multi Omics Data
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Author : Chao Xu
language : en
Publisher: Frontiers Media SA
Release Date : 2022-02-02

Application Of Novel Statistical And Machine Learning Methods To High Dimensional Clinical Cancer And Multi Omics Data written by Chao Xu and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-02 with Science categories.




Artificial Intelligence Bioinformatics Development And Application Of Tools For Omics And Inter Omics Studies


Artificial Intelligence Bioinformatics Development And Application Of Tools For Omics And Inter Omics Studies
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Author : Angelo Facchiano
language : en
Publisher: Frontiers Media SA
Release Date : 2020-06-18

Artificial Intelligence Bioinformatics Development And Application Of Tools For Omics And Inter Omics Studies written by Angelo Facchiano and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-18 with categories.




Applications Of Multi Omics


Applications Of Multi Omics
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Author : Richard Skiba
language : en
Publisher: After Midnight Publishing
Release Date : 2025-02-19

Applications Of Multi Omics written by Richard Skiba and has been published by After Midnight Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-19 with Medical categories.


In the era of big data and personalized medicine, Applications of Multi-Omics serves as a comprehensive guide to integrating biological data across genomics, transcriptomics, proteomics, metabolomics, and epigenomics. This book explores how multi-omics technologies provide a holistic view of biological systems, transforming our understanding of human health, disease mechanisms, drug development, and environmental science. Written for researchers, healthcare professionals, and students in life sciences, this book breaks down complex concepts into accessible insights, covering key methodologies, computational approaches, and real-world applications. From precision medicine and biomarker discovery to AI-driven data integration and ethical considerations, Applications of Multi-Omics provides a deep dive into how multi-layered biological data is revolutionizing biomedical research and healthcare. Whether you are an academic researcher seeking to integrate multi-omics in your studies, a clinician exploring omics-driven diagnostics, or a data scientist working at the intersection of AI and life sciences, this book is an essential resource. It highlights emerging trends, challenges, and future directions in multi-omics, paving the way for groundbreaking discoveries in personalized medicine, biotechnology, and agricultural research. Join the multi-omics revolution and uncover the intricate biological networks shaping the future of science and medicine.



Proceedings Of The 9th International Conference On The Applications Of Science And Mathematics


Proceedings Of The 9th International Conference On The Applications Of Science And Mathematics
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Author : Phang Chang
language : en
Publisher: Springer Nature
Release Date : 2025-08-02

Proceedings Of The 9th International Conference On The Applications Of Science And Mathematics written by Phang Chang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-02 with Science categories.


This book presents peer-reviewed articles and highlights successful examples of integrating science and mathematics for future global initiatives from the 9th International Conference on the Applications of Science and Mathematics (SCIEMATHIC 2024), held in Malaysia. It provides knowledge exchange between experts in the fields of science and mathematics that promotes harmony and holistic understanding for future generations. Topics included in this proceeding are mathematics and statistics, physics, chemistry, engineering sciences, and artificial intelligence.



Advanced Intelligent Computing Technology And Applications


Advanced Intelligent Computing Technology And Applications
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Author : De-Shuang Huang
language : en
Publisher: Springer Nature
Release Date : 2023-07-29

Advanced Intelligent Computing Technology And Applications written by De-Shuang Huang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-29 with Technology & Engineering categories.


This three-volume set of LNCS 14086, LNCS 14087 and LNCS 14088 constitutes - in conjunction with the double-volume set LNAI 14089-14090- the refereed proceedings of the 19th International Conference on Intelligent Computing, ICIC 2023, held in Zhengzhou, China, in August 2023. The 337 full papers of the three proceedings volumes were carefully reviewed and selected from 828 submissions. This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was "Advanced Intelligent Computing Technology and Applications". Papers that focused on this theme were solicited, addressing theories, methodologies, and applications in science and technology.



Machine Learning In Dentistry


Machine Learning In Dentistry
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Author : Ching-Chang Ko
language : en
Publisher: Springer Nature
Release Date : 2021-07-24

Machine Learning In Dentistry written by Ching-Chang Ko and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-24 with Medical categories.


This book reviews all aspects of the use of machine learning in contemporary dentistry, clearly explaining its significance for dental imaging, oral diagnosis and treatment, dental designs, and dental research. Machine learning is an emerging field of artificial intelligence research and practice in which computer agents are employed to improve perception, cognition, and action based on their ability to “learn”, for example through use of big data techniques. Its application within dentistry is designed to promote personalized and precision patient care, with enhancement of diagnosis and treatment planning. In this book, readers will find up-to-date information on different machine learning tools and their applicability in various dental specialties. The selected examples amply illustrate the opportunities to employ a machine learning approach within dentistry while also serving to highlight the associated challenges. Machine Learning in Dentistry will be of value for all dental practitioners and researchers who wish to learn more about the potential benefits of using machine learning techniques in their work.



Novel Biomarkers For Potential Clinical Applications In Lung Cancer


Novel Biomarkers For Potential Clinical Applications In Lung Cancer
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Author : Hongda Liu
language : en
Publisher: Frontiers Media SA
Release Date : 2024-09-26

Novel Biomarkers For Potential Clinical Applications In Lung Cancer written by Hongda Liu and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-26 with Medical categories.


More and more medical centers are now combining high-resolution CT scans well with deep learning and artificial intelligence for lung cancer screening, resulting in significantly improved diagnostic sensitivity. Furthermore, the increased molecular alterations in lung cancer were demonstrated not only in tumor tissue, but also in other body organs. For example, circulating tumor DNA combined with next-generation sequencing is now becoming a popular method for lung cancer diagnosis and therapeutic monitoring. Therefore, the first focus of this topic is on such achievements in early diagnosis of lung cancer, especially non-invasive tests such as liquid biopsy.



Advances In Artificial Intelligence And Machine Learning Applications For The Imaging Of Bone And Soft Tissue Tumors


Advances In Artificial Intelligence And Machine Learning Applications For The Imaging Of Bone And Soft Tissue Tumors
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Author : Brandon K. K. Fields
language : en
Publisher: Frontiers Media SA
Release Date : 2025-01-03

Advances In Artificial Intelligence And Machine Learning Applications For The Imaging Of Bone And Soft Tissue Tumors written by Brandon K. K. Fields and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-03 with Science categories.


Increasing interest in the development and validation of quantitative imaging biomarkers for oncologic imaging has in recent years inspired a surge in the field of artificial intelligence and machine learning. Initial results showed promise in identifying potential markers of treatment response, malignant potential, and prognostic predictors, among others; however, while many of these early algorithms showed the optimistic ability to separate pathologic states on “in-house” datasets, it was often the case that these classifiers generalized poorly on external validation sets and thus were of limited utility in the clinical setting. This issue was additionally compounded by the frequent use of data filtering and feature selection techniques in many studies to further bolster the machine learning results in limited case scenarios, thereby biasing the overall fit and further reducing generalizability.



Big Data In Omics And Imaging


Big Data In Omics And Imaging
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Author : Momiao Xiong
language : en
Publisher: CRC Press
Release Date : 2018-06-14

Big Data In Omics And Imaging written by Momiao Xiong and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-14 with Mathematics categories.


Big Data in Omics and Imaging: Integrated Analysis and Causal Inference addresses the recent development of integrated genomic, epigenomic and imaging data analysis and causal inference in big data era. Despite significant progress in dissecting the genetic architecture of complex diseases by genome-wide association studies (GWAS), genome-wide expression studies (GWES), and epigenome-wide association studies (EWAS), the overall contribution of the new identified genetic variants is small and a large fraction of genetic variants is still hidden. Understanding the etiology and causal chain of mechanism underlying complex diseases remains elusive. It is time to bring big data, machine learning and causal revolution to developing a new generation of genetic analysis for shifting the current paradigm of genetic analysis from shallow association analysis to deep causal inference and from genetic analysis alone to integrated omics and imaging data analysis for unraveling the mechanism of complex diseases. FEATURES Provides a natural extension and companion volume to Big Data in Omic and Imaging: Association Analysis, but can be read independently. Introduce causal inference theory to genomic, epigenomic and imaging data analysis Develop novel statistics for genome-wide causation studies and epigenome-wide causation studies. Bridge the gap between the traditional association analysis and modern causation analysis Use combinatorial optimization methods and various causal models as a general framework for inferring multilevel omic and image causal networks Present statistical methods and computational algorithms for searching causal paths from genetic variant to disease Develop causal machine learning methods integrating causal inference and machine learning Develop statistics for testing significant difference in directed edge, path, and graphs, and for assessing causal relationships between two networks The book is designed for graduate students and researchers in genomics, epigenomics, medical image, bioinformatics, and data science. Topics covered are: mathematical formulation of causal inference, information geometry for causal inference, topology group and Haar measure, additive noise models, distance correlation, multivariate causal inference and causal networks, dynamic causal networks, multivariate and functional structural equation models, mixed structural equation models, causal inference with confounders, integer programming, deep learning and differential equations for wearable computing, genetic analysis of function-valued traits, RNA-seq data analysis, causal networks for genetic methylation analysis, gene expression and methylation deconvolution, cell –specific causal networks, deep learning for image segmentation and image analysis, imaging and genomic data analysis, integrated multilevel causal genomic, epigenomic and imaging data analysis.



Application Of Radiomics In Understanding Tumor Biological Behaviors And Treatment Response


Application Of Radiomics In Understanding Tumor Biological Behaviors And Treatment Response
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Author : Sweet Ping Ng
language : en
Publisher: Frontiers Media SA
Release Date : 2023-09-19

Application Of Radiomics In Understanding Tumor Biological Behaviors And Treatment Response written by Sweet Ping Ng and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-19 with Medical categories.