This book discusses some of the innumerable ways in which computational methods can be used to facilitate research in biology and medicine - from storing enormous amounts of biological data to solving complex biological problems and enhancing treatment of various grave diseases.
A Hands-On Introduction to Forensic Science, Second Edition continues in the tradition of the first edition taking a wholly unique approach to teaching forensic science.
A Hands-On Introduction to Forensic Science, Second Edition continues in the tradition of the first edition taking a wholly unique approach to teaching forensic science.
Computational Immunology: Applications focuses on different mathematical models, statistical tools, techniques, and computational modelling that helps in understanding complex phenomena of the immune system and its biological functions.
Computational Immunology: Applications focuses on different mathematical models, statistical tools, techniques, and computational modelling that helps in understanding complex phenomena of the immune system and its biological functions.
In biological research, the amount of data available to researchers has increased so much over recent years, it is becoming increasingly difficult to understand the current state of the art without some experience and understanding of data analytics and bioinformatics.
In biological research, the amount of data available to researchers has increased so much over recent years, it is becoming increasingly difficult to understand the current state of the art without some experience and understanding of data analytics and bioinformatics.
Since the first edition of Stochastic Modelling for Systems Biology, there have been many interesting developments in the use of "e;likelihood-free"e; methods of Bayesian inference for complex stochastic models.
Since the first edition of Stochastic Modelling for Systems Biology, there have been many interesting developments in the use of "e;likelihood-free"e; methods of Bayesian inference for complex stochastic models.
Concepts and Techniques in OMICS and Systems Biology provides a concise and lucid account on the technical aspects of omics, system biology and their application in fields of different life science.
The information age has led to an explosion in the amount of information available to the individual and the means by which it is accessed, stored, viewed, and transferred.
The information age has led to an explosion in the amount of information available to the individual and the means by which it is accessed, stored, viewed, and transferred.
Introduction to Mathematical Oncology presents biologically well-motivated and mathematically tractable models that facilitate both a deep understanding of cancer biology and better cancer treatment designs.
Big Data in Omics and Imaging: Association Analysis addresses the recent development of association analysis and machine learning for both population and family genomic data in sequencing era.
With its modern chapter organization and new "e;Focus on Genomics"e; boxes, iGenetics: A Molecular Approach reflects the increasing molecular emphasis in today's experimental study of genes while helping students develop problem-solving skills and an appreciation for classic experiments.
Since the advent of cDNA microarrays, oligonucleotide array technology, and gene chip analysis, genomics has revolutionized the entire field of biomedical research.
DNA Barcoding has been promoted since 2003 as a new, fast, digital genomics-based means of identifying natural species based on the idea that a small standard fragment of any organism's genome (a so-called 'micro-genome') can faithfully identify and help to classify every species on the planet.
DNA Barcoding has been promoted since 2003 as a new, fast, digital genomics-based means of identifying natural species based on the idea that a small standard fragment of any organism's genome (a so-called 'micro-genome') can faithfully identify and help to classify every species on the planet.
Comparative Genomics and Proteomics in Drug Discovery gives an overview of how emerging genomic and proteomic technologies are making significant contributions to global drug discovery programs, and in particular the key role that comparative genomics and proteomics play within this strategy.
Comparative Genomics and Proteomics in Drug Discovery gives an overview of how emerging genomic and proteomic technologies are making significant contributions to global drug discovery programs, and in particular the key role that comparative genomics and proteomics play within this strategy.
Statistical Genetics is an advanced textbook focusing on conducting genome-wide linkage and association analysis in order to identify the genes responsible for complex behaviors and diseases.
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.
This volume provides readers with a broad collection of theoretical, computational, and experimental methods to quantitatively study the properties of phase-separate biomolecular condensates in diverse systems.
This volume provides protocols for computational, statistical, and machine learning methods that are mainly applied to the study of metabolic engineering, synthetic biology, and disease applications.
This detailed book presents recent methodologies for the task of inspecting the genomic world of plants, extracting valuable information, and presenting it in a readable way.
This volume presents a collection of versatile methodologies to investigate prokaryotic gene regulation, with focus on the different levels of information processing and usefulness for various model organisms, whether archaeal, bacterial, or both.
