Bioinformatics: e-Books

Addresses major techniques regarding image processing as a tool for disease identification and diagnosis, as well as treatment recommendation. Highlights current research intended to advance the medical field.

Highlights the area of bioinformatics and its impact over the medical community with its innovations that change how we recognize and care for illnesses.

Offers the latest the field has to offer to practitioners and academics alike, presented through theoretical frameworks, case studies, and future directions.

Offers a unique perspective on machine learning aspects of microarray gene expression based cancer classification. This multidisciplinary text is at the intersection of computer science and biology.

Studies range from the atomic/molecular level to the genomic level and present a wide spectrum of important biological problems and applications. It is a must-read for researchers in a broad range of disciplines, including computer science, chemistry, physics, math and statistics, and biological sciences.

Advances the knowledge available to researchers, educators, and students about new mathematical methods and tools, phenomenological results and interdisciplinary connections in the fields of molecular genetics, bioinformatics, computer informatics, and mathematical and theoretical biology.

Covers important research topics of data mining on bioinformatics. Readers of this book will gain an understanding of the basics and problems of bioinformatics, as well as the applications of data mining technologies in tackling the problems and the essential research topics in the field.

Merges the fields of biology, technology, and medicine in order to present a comprehensive study on the emerging information processing applications necessary in the field of electronic medical record management.

Discusses the most significant research and latest practices in computational knowledge discovery approaches to bioinformatics in a cross-disciplinary manner. Aims to increase the awareness of interesting and challenging biomedical problems and to inspire new knowledge discovery solutions.

Presents new techniques that have resulted from the application of computer science methods to the organization and interpretation of biological data. The book covers three subject areas: bioinformatics, computational biology, and computational systems biology.

Presents an integrated model of human image processing up to conscious visual experience, based mainly on the Holonomic Brain Theory by Karl Pribram. This work researches possibilities for complementing neural models of early vision with the new preliminary quantum models of consciousness in order to construct a model of human image processing.

Contributes to the existing gap in interdisciplinary research on comparative studies of cultural, social and ethical implications of genomics and bioinformatics. This work focuses on ethical, social, cultural, and legal implications of genetics, genomics and genetic databanking as they relate to concrete cultural and historical traditions.

explains bioinformatic methods for predicting PPIs, as well as data mining methods to mine or analyze various protein interaction networks. Discovers underlying interaction mechanisms by studying intra-molecular features that form the common denominator of various PPIs.