Life Sciences Research in Space
Life Sciences Research in Space

Author: H. Oser

Publisher:

Published: 1989

Total Pages: 148

ISBN-13:

DOWNLOAD EBOOK

One of the European Space Agency's optional programmes is dedicated to the pursuit of microgravity research in space, which is now an established scientific discipline in Europe. The Agency, with the full support of its Member States, is currently in the process of preparing a Long-Term Plan for its future Microgravity Programme, called 'In-Orbit 2000'. The ESA Microgravity Programme consists of two parts, one dedicated to materials and fluid sciences and the other to life sciences. The life-sciences element includes basic research and applications in many areas of biology, botany and physiology, including problems associated with the well-being of astronauts in space. The purpose of this volume, which can be regarded as the sister publication to the volume 'Fluid Sciences and Material Sciences in Space', is twofold. Its first role is to review the scientific results obtained to date in the life sciences using the rather limited low-gravity flight opportunities that have so far been made available. The second is to speculate on the direction that future research and application endeavours may take.

Artificial Intelligence in Bioinformatics
Artificial Intelligence in Bioinformatics

Author: Mario Cannataro

Publisher: Elsevier

Published: 2022-05-12

Total Pages: 270

ISBN-13: 0128229292

DOWNLOAD EBOOK

Artificial Intelligence in Bioinformatics: From Omics Analysis to Deep Learning and Network Mining reviews the main applications of the topic, from omics analysis to deep learning and network mining. The book includes a rigorous introduction on bioinformatics, also reviewing how methods are incorporated in tasks and processes. In addition, it presents methods and theory, including content for emergent fields such as Sentiment Analysis and Network Alignment. Other sections survey how Artificial Intelligence is exploited in bioinformatics applications, including sequence analysis, structure analysis, functional analysis, protein classification, omics analysis, biomarker discovery, integrative bioinformatics, protein interaction analysis, metabolic networks analysis, and much more. - Bridges the gap between computer science and bioinformatics, combining an introduction to Artificial Intelligence methods with a systematic review of its applications in the life sciences - Brings readers up-to-speed on current trends and methods in a dynamic and growing field - Provides academic teachers with a complete resource, covering fundamental concepts as well as applications