The broad range of G protein-coupled receptors (GPCRs) encompasses all areas of modern medicine and have an enormous impact on the process of drug development.
Like engineering systems, biological systems must also operate effectively in the presence of internal and external uncertainty-such as genetic mutations or temperature changes, for example.
Bayesian Modeling in Bioinformatics discusses the development and application of Bayesian statistical methods for the analysis of high-throughput bioinformatics data arising from problems in molecular and structural biology and disease-related medical research, such as cancer.
Lucidly Integrates Current ActivitiesFocusing on both fundamentals and recent advances, Introduction to Machine Learning and Bioinformatics presents an informative and accessible account of the ways in which these two increasingly intertwined areas relate to each other.
Artificial Intelligence in Biomedical and Modern Healthcare Informatics provides a deeper understanding of the current trends in AI and machine learning within healthcare diagnosis, its practical approach in healthcare, and gives insight into different wearable sensors and its device module to help doctors and their patients in enhanced healthcare system.
The advances in genomic technologies, such as microarrays and high throughput sequencing,have expanded the realm of possibilities for capturing data and analyzing it using automatedcomputer driven bioinformatics tools.
The new research area of genomics-inspired network biology lacks an introductory book that enables both physical/computational scientists and biologists to obtain a general yet sufficiently rigorous perspective of current thinking.
The field of metagenomics has revolutionized our comprehension of microbial diversity and function across various habitats, from the human body to terrestrial and aquatic environments.
Providing an interface between dry-bench bioinformaticians and wet-lab biologists, DNA Methylation Microarrays: Experimental Design and Statistical Analysis presents the statistical methods and tools to analyze high-throughput epigenomic data, in particular, DNA methylation microarray data.
From economics and business to the biological sciences to physics and engineering, professionals successfully use the powerful mathematical tool of optimal control to make management and strategy decisions.
The First Book to Describe the Technical and Practical Elements of Chemical Text MiningExplores the development of chemical structure extraction capabilities and how to incorporate these technologies in daily research workFor scientific researchers, finding too much information on a subject, not finding enough information, or not being able&nb
An emerging, ever-evolving branch of science, bioinformatics has paved the way for the explosive growth in the distribution of biological information to a variety of biological databases, including the National Center for Biotechnology Information.
Quantitative tools are becoming increasingly important in order to understand complex cascade of signal transduction events, pathways or biochemical reactions.
A First Course in Systems Biology, Third Edition is an introduction to the growing field of systems biology for advanced undergraduates and graduate students.
The field of metagenomics has revolutionized our comprehension of microbial diversity and function across various habitats, from the human body to terrestrial and aquatic environments.
Quantitative tools are becoming increasingly important in order to understand complex cascade of signal transduction events, pathways or biochemical reactions.
The Beauty of Protein Structures and the Mathematics behind Structural BioinformaticsProviding the framework for a one-semester undergraduate course, Structural Bioinformatics: An Algorithmic Approach shows how to apply key algorithms to solve problems related to macromolecular structure.
Antimicrobial resistance (AMR) is increasing globally at an incredible rate, and many infectious diseases have already reached an alarming stage of resistance to existing treatments.
Demonstrating that many useful resources, such as databases, can benefit most bioinformatics projects, the Handbook of Hidden Markov Models in Bioinformatics focuses on how to choose and use various methods and programs available for hidden Markov models (HMMs).
Thoroughly Describes Biological Applications, Computational Problems, and Various Algorithmic Solutions Developed from the author's own teaching material, Algorithms in Bioinformatics: A Practical Introduction provides an in-depth introduction to the algorithmic techniques applied in bioinformatics.
A First Course in Systems Biology, Third Edition is an introduction to the growing field of systems biology for advanced undergraduates and graduate students.
This book presents peer-reviewed contributions from the MICCAI 2023 Computational Biomechanics for Medicine CBM XVIII Workshop held in conjunction with the 26th International MICCAI Conference.
This book presents peer-reviewed contributions from the MICCAI 2023 Computational Biomechanics for Medicine CBM XVIII Workshop held in conjunction with the 26th International MICCAI Conference.
Dieses Lehrbuch führt in die grundlegenden Konzepte der Bioinformatik ein und verbessert die Fähigkeiten der Studierenden im Umgang mit Software und Werkzeugen, die speziell für die Lösung von mikrobiologischen Fragestellungen relevant sind.
Dieses Lehrbuch führt in die grundlegenden Konzepte der Bioinformatik ein und verbessert die Fähigkeiten der Studierenden im Umgang mit Software und Werkzeugen, die speziell für die Lösung von mikrobiologischen Fragestellungen relevant sind.
With a DVD of color figures, Clustering in Bioinformatics and Drug Discovery provides an expert guide on extracting the most pertinent information from pharmaceutical and biomedical data.
The advent of high-throughput experimental assays, and in particular of next-generation sequencing, has revolutionized life sciences by enabling the generation of data at the scale of the whole genome.
