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Author : Ornella Cominetti,Sergio Oller Moreno,Sumeet Agarwal
Publisher : Frontiers Media SA
Page : 184 pages
File Size : 52,6 Mb
Release : 2023-05-12
Category : Science
ISBN : 9782832523421
Author : Abedalrhman Alkhateeb,Luis Rueda
Publisher : Springer Nature
Page : 171 pages
File Size : 46,5 Mb
Release : 2023-12-15
Category : Science
ISBN : 9783031365027
The advancement of biomedical engineering has enabled the generation of multi-omics data by developing high-throughput technologies, such as next-generation sequencing, mass spectrometry, and microarrays. Large-scale data sets for multiple omics platforms, including genomics, transcriptomics, proteomics, and metabolomics, have become more accessible and cost-effective over time. Integrating multi-omics data has become increasingly important in many research fields, such as bioinformatics, genomics, and systems biology. This integration allows researchers to understand complex interactions between biological molecules and pathways. It enables us to comprehensively understand complex biological systems, leading to new insights into disease mechanisms, drug discovery, and personalized medicine. Still, integrating various heterogeneous data types into a single learning model also comes with challenges. In this regard, learning algorithms have been vital in analyzing and integrating these large-scale heterogeneous data sets into one learning model. This book overviews the latest multi-omics technologies, machine learning techniques for data integration, and multi-omics databases for validation. It covers different types of learning for supervised and unsupervised learning techniques, including standard classifiers, deep learning, tensor factorization, ensemble learning, and clustering, among others. The book categorizes different levels of integrations, ranging from early, middle, or late-stage among multi-view models. The underlying models target different objectives, such as knowledge discovery, pattern recognition, disease-related biomarkers, and validation tools for multi-omics data. Finally, the book emphasizes practical applications and case studies, making it an essential resource for researchers and practitioners looking to apply machine learning to their multi-omics data sets. The book covers data preprocessing, feature selection, and model evaluation, providing readers with a practical guide to implementing machine learning techniques on various multi-omics data sets.
Author : Loveleen Gaur,Arun Solanki,Samuel Fosso Wamba,Noor Zaman Jhanjhi
Publisher : CRC Press
Page : 282 pages
File Size : 55,6 Mb
Release : 2021-10-18
Category : Computers
ISBN : 9781000462982
The advanced AI techniques are essential for resolving various problematic aspects emerging in the field of bioinformatics. This book covers the recent approaches in artificial intelligence and machine learning methods and their applications in Genome and Gene editing, cancer drug discovery classification, and the protein folding algorithms among others. Deep learning, which is widely used in image processing, is also applicable in bioinformatics as one of the most popular artificial intelligence approaches. The wide range of applications discussed in this book are an indispensable resource for computer scientists, engineers, biologists, mathematicians, physicians, and medical informaticists. Features: Focusses on the cross-disciplinary relation between computer science and biology and the role of machine learning methods in resolving complex problems in bioinformatics Provides a comprehensive and balanced blend of topics and applications using various advanced algorithms Presents cutting-edge research methodologies in the area of AI methods when applied to bioinformatics and innovative solutions Discusses the AI/ML techniques, their use, and their potential for use in common and future bioinformatics applications Includes recent achievements in AI and bioinformatics contributed by a global team of researchers
Author : Farhad Maleki,Renee Menezes,Sorin Draghici,Anthony Kusalik
Publisher : Frontiers Media SA
Page : 195 pages
File Size : 44,5 Mb
Release : 2022-08-01
Category : Science
ISBN : 9782889764235
Author : Syeda Marriam Bakhtiar,Erum Dilshad
Publisher : Bentham Science Publishers
Page : 334 pages
File Size : 48,8 Mb
Release : 2022-10-03
Category : Medical
ISBN : 9789815079524
Genetic disorders have been the focus of scientists for a long time. The emergence of next-generation sequencing techniques has ushered a new era in genetics and several developments have occurred in human genetics. The scientific perspective has also been widened with omics technologies that allow researchers to analyze genetic sequences and their expression products. An integrated approach is being used not only for diagnosis but also for disease management and therapeutic purposes. This book highlights emerging areas of omics technology and its application in the diagnosis and management of human genetic disorders. The book covers three areas of research and implementation: 1) Diagnosis (covering conventional strategies to next-generation platforms). This section focuses on the role of in silico analysis, databases and multi-omics of single-cell which will help in designing better management strategies. 2) Disease Management and therapeutic interventions. This section starts with genetic counselling and progresses to more specific techniques such as pharmacogenomics and personalized medicine, gene editing techniques and their applications in gene therapies and regenerative medicine. 3) Case studies. This section discusses the applications and success of all the above-mentioned strategies on selected human disorders. This book serves as a handy reference for students and academics studying advanced omics techniques in biochemistry and molecular genetics as part of courses in life sciences, pharmacology and medicine.
Author : Ehsan Nazemalhosseini-Mojarad ,Claudia Cava
Publisher : Frontiers Media SA
Page : 433 pages
File Size : 40,8 Mb
Release : 2023-08-02
Category : Science
ISBN : 9782832530382
Cancer is a complex and heterogeneous disease often caused by different alterations. The development of human cancer is due to the accumulation of genetic and epigenetic modifications that could affect the structure and function of the genome. High-throughput methods (e.g., microarray and next-generation sequencing) can investigate a tumor at multiple levels: i) DNA with genome-wide association studies (GWAS), ii) epigenetic modifications such as DNA methylation, histone changes and microRNAs (miRNAs) iii) mRNA. The availability of public datasets from different multi-omics data has been growing rapidly and could facilitate better knowledge of the biological processes of cancer. Computational approaches are essential for the analysis of big data and the identification of potential biomarkers for early and differential diagnosis, and prognosis.
Author : Gary Hardiman
Publisher : MDPI
Page : 202 pages
File Size : 46,9 Mb
Release : 2020-04-15
Category : Science
ISBN : 9783039287444
A “genotype" is essentially an organism's full hereditary information which is obtained from its parents. A "phenotype" is an organism's actual observed physical and behavioral properties. These may include traits such as morphology, size, height, eye color, metabolism, etc. One of the pressing challenges in computational and systems biology is genotype-to-phenotype prediction. This is challenging given the amount of data generated by modern Omics technologies. This “Big Data” is so large and complex that traditional data processing applications are not up to the task. Challenges arise in collection, analysis, mining, sharing, transfer, visualization, archiving, and integration of these data. In this Special Issue, there is a focus on the systems-level analysis of Omics data, recent developments in gene ontology annotation, and advances in biological pathways and network biology. The integration of Omics data with clinical and biomedical data using machine learning is explored. This Special Issue covers new methodologies in the context of gene–environment interactions, tissue-specific gene expression, and how external factors or host genetics impact the microbiome.
Author : Chen Qingfeng,Wei Lan,Yi-Ping Phoebe Chen,Wilson Wen Bin Goh
Publisher : Frontiers Media SA
Page : 220 pages
File Size : 42,8 Mb
Release : 2021-11-08
Category : Science
ISBN : 9782889716005
Author : Khalid Raza
Publisher : Springer Nature
Page : 474 pages
File Size : 46,7 Mb
Release : 2022-03-01
Category : Technology & Engineering
ISBN : 9789811692215
This book encapsulates recent applications of CI methods in the field of computational oncology, especially cancer diagnosis, prognosis, and its optimized therapeutics. The cancer has been known as a heterogeneous disease categorized in several different subtypes. According to WHO’s recent report, cancer is a leading cause of death worldwide, accounting for over 10 million deaths in the year 2020. Therefore, its early diagnosis, prognosis, and classification to a subtype have become necessary as it facilitates the subsequent clinical management and therapeutics plan. Computational intelligence (CI) methods, including artificial neural networks (ANNs), fuzzy logic, evolutionary computations, various machine learning and deep learning, and nature-inspired algorithms, have been widely utilized in various aspects of oncology research, viz. diagnosis, prognosis, therapeutics, and optimized clinical management. Appreciable progress has been made toward the understanding the hallmarks of cancer development, progression, and its effective therapeutics. However, notwithstanding the extrinsic and intrinsic factors which lead to drastic increment in incidence cases, the detection, diagnosis, prognosis, and therapeutics remain an apex challenge for the medical fraternity. With the advent in CI-based approaches, including nature-inspired techniques, and availability of clinical data from various high-throughput experiments, medical consultants, researchers, and oncologists have seen a hope to devise and employ CI in various aspects of oncology. The main aim of the book is to occupy state-of-the-art applications of CI methods which have been derived from core computer sciences to back medical oncology. This edited book covers artificial neural networks, fuzzy logic and fuzzy inference systems, evolutionary algorithms, various nature-inspired algorithms, and hybrid intelligent systems which are widely appreciated for the diagnosis, prognosis, and optimization of therapeutics of various cancers. Besides, this book also covers multi-omics exploration, gene expression analysis, gene signature identification of cancers, genomic characterization of tumors, anti-cancer drug design and discovery, drug response prediction by means of CI, and applications of IoT, IoMT, and blockchain technology in cancer research.
Author : Anonim
Publisher : Elsevier
Page : 730 pages
File Size : 41,7 Mb
Release : 2018-09-22
Category : Science
ISBN : 9780444640451
Data Analysis for Omic Sciences: Methods and Applications, Volume 82, shows how these types of challenging datasets can be analyzed. Examples of applications in real environmental, clinical and food analysis cases help readers disseminate these approaches. Chapters of note include an Introduction to Data Analysis Relevance in the Omics Era, Omics Experimental Design and Data Acquisition, Microarrays Data, Analysis of High-Throughput RNA Sequencing Data, Analysis of High-Throughput DNA Bisulfite Sequencing Data, Data Quality Assessment in Untargeted LC-MS Metabolomic, Data Normalization and Scaling, Metabolomics Data Preprocessing, and more. Presents the best reference book for omics data analysis Provides a review of the latest trends in transcriptomics and metabolomics data analysis tools Includes examples of applications in research fields, such as environmental, biomedical and food analysis
Author : Vijai Singh
Publisher : Springer Nature
Page : 365 pages
File Size : 48,6 Mb
Release : 2024-06-20
Category : Electronic
ISBN : 9789819984015
Author : Himel Mallick,Vanni Bucci,Lingling An
Publisher : Frontiers Media SA
Page : 170 pages
File Size : 52,6 Mb
Release : 2020-11-19
Category : Science
ISBN : 9782889660919
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
Author : Young-Mo Kim,Chris Petzold,Eduard Kerkhoven,Scott E. Baker
Publisher : Frontiers Media SA
Page : 165 pages
File Size : 51,9 Mb
Release : 2022-01-31
Category : Science
ISBN : 9782889742370
Author : Timothy G. Rials,Allison E. Ray,J. Richard Hess
Publisher : Frontiers Media SA
Page : 219 pages
File Size : 40,5 Mb
Release : 2022-11-11
Category : Technology & Engineering
ISBN : 9782832505113
Author : Israel Tojal Da Silva,Joel Correa Da Rosa,Liang Zhao,Rodrigo Drummond,Jianjiong Gao
Publisher : Frontiers Media SA
Page : 149 pages
File Size : 52,7 Mb
Release : 2022-09-21
Category : Science
ISBN : 9782832500200
