Immunoinformatics Of Cancers

Immunoinformatics of Cancers: Practical Machine Learning Approaches Using R takes a bioinformatics approach to understanding and researching the immunological aspects of malignancies. It details biological and computational principles and the current applications of bioinformatic approaches in the study of human malignancies. Three sections cover the role of immunology in cancers and bioinformatics, including databases and tools, R programming and useful packages, and present the foundations of machine learning. The book then gives practical examples to illuminate the application of immunoinformatics to cancer, along with practical details on how computational and biological approaches can best be integrated.This book provides readers with practical computational knowledge and techniques, including programming, and machine learning, enabling them to understand and pursue the immunological aspects of malignancies. Presents the knowledge researchers need to apply computational techniques to immunodeficiencies Provides the most practical material for bioinformatics approaches to the immunology of cancers Gives straightforward and efficient explanations of programming and machine learning approaches in R Includes details of the most useful databases, tools, programming packages and algorithms for immunoinformatics Illuminates clear explanations with practical examples of immunoinformatic approaches to cancer

This book covers a wide range of diverse immunoinformatics research topics, involving tools and databases of potential epitope prediction, HLA gene analysis, MHC characterizing, in silico vaccine design, mathematical modeling of host-pathogen interactions, and network analysis of immune system data. In that way, this fully updated volume explores the enormous value of computational tools and models in immunology research. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of key insights and detailed implementation advice to encourage successful results in the lab. Authoritative and practical, Immunoinformatics, Third Edition serves as an ideal guide for scientists working at the intersection of bioinformatics, mathematical modelling, and statistics for the study of immune systems biology.

In contrast to existing books on immunoinformatics, this volume presents a cross-section of immunoinformatics research. The contributions highlight the interdisciplinary nature of the field and how collaborative efforts among bioinformaticians and bench scientists result in innovative strategies for understanding the immune system. Immunoinformatics is ideal for scientists and students in immunology, bioinformatics, microbiology, and many other disciplines.

This book highlights the role of Biomedical Engineering (BME) used in diagnosis (e.g., body scanners) and treatment (radiation therapy and minimal access surgery in order to prevent various diseases). In recent years, an important progress has been made in the expansion of biomedical microdevices which has a major role in diagnosis and therapy of cancer. When fighting cancer, efficacy and speed are of the utmost importance. A recently developed microfluidic chip has enabled a breakthrough in testing the efficacy of specialized cancer drugs. Effective cancer-targeting therapies will require both passive and active targeting strategies and a thorough understanding of physiologic barriers to targeted drug delivery. Targeted cancer treatments in development and the new combinatorial approaches show promise for improving targeted anticancer drug delivery and improving treatment outcomes. This book discusses the advancements and innovations in the field of BME that improve the diagnosis and treatment of cancer. This book is focused on bioengineering approaches to improve targeted delivery for cancer therapeutics, which include particles, targeting moieties, and stimuli-responsive drug release mechanisms. This book is a useful resource for students, researchers, and professionals in BME and medicine.

This book describes various novel biomarkers for the early diagnosis of gastrointestinal (GI) cancers. It also highlights recent advances in understanding the role of molecular markers and biomarkers, such as volatile biomarkers, serum biomarkers, predictive and prognostic molecular markers for the early detection of GI cancers. Further, it discusses novel biomarkers, including circulating microRNAs, serum microRNA and plasma microRNA in GI cancer. The book presents breakthrough technologies like ultra-sensitive nano-chips, nanosensors, nanodevices, biosensors, electrochemical biosensors, optical biosensors, DNA biosensors, synthetic biology devices, and 'omics' technologies for the early diagnosis of gastrointestinal cancer. In addition it examines the potential of genome-wide association studies, big data analytics, computation biology, systems biology, and nanotechnology for early diagnostics and therapeutics for gastrointestinal cancer, with a focus on personalized cancer treatment. The book is a valuable source for researchers and clinicians engaged in detection and diagnosis of gastrointestinal cancers.

This book includes original research articles and reviews to update readers on the state of the art systems approach to not only discover novel diagnostic and prognostic biomarkers for several cancer types, but also evaluate methodologies to map out important genomic signatures. In addition, therapeutic targets and drug repurposing have been emphasized for a variety of cancer types. In particular, new and established researchers who desire to learn about cancer systems biology and why it is possibly the leading front to a personalized medicine approach will enjoy reading this book.

This volume both engages the reader and provides a sound foundation for the use of immunoinformatics techniques in immunology and vaccinology. It addresses databases, HLA supertypes, MCH binding, and other properties of immune systems. The book contains chapters written by leaders in the field and provides a firm background for anyone working in immunoinformatics in one easy-to-use, insightful volume.