Zhang – författare

An introduction to machine learning methods and their applications to problems in bioinformatics Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. Machine learning techniques such as Markov models, support vector machines, neural networks, and graphical models have been successful in analyzing life science data because of their capabilities in handling randomness and uncertainty of data noise and in generalization.From an internationally recognized panel of prominent researchers in the field, Machine Learning in Bioinformatics compiles recent approaches in machine learning methods and their applications in addressing contemporary problems in bioinformatics. Coverage includes: feature selection for genomic and proteomic data mining; comparing variable selection methods in gene selection and classification of microarray data; fuzzy gene mining; sequence-based prediction of residue-level properties in proteins; probabilistic methods for long-range features in biosequences; and much more.Machine Learning in Bioinformatics is an indispensable resource for computer scientists, engineers, biologists, mathematicians, researchers, clinicians, physicians, and medical informaticists. It is also a valuable reference text for computer science, engineering, and biology courses at the upper undergraduate and graduate levels.

The essentials of drug metabolism vital to developing new therapeutic entities Information on the metabolism and disposition of candidate drugs is a critical part of all aspects of the drug discovery and development process. Drug metabolism, as practiced in the pharmaceutical industry today, is a complex, multidisciplinary field that requires knowledge of sophisticated analytical technologies and expertise in mechanistic and kinetic enzymology, organic reaction mechanism, pharmacokinetic analysis, animal physiology, basic chemical toxicology, preclinical pharmacology, and molecular biology. With chapters contributed by experts in their specific areas, this reference covers:* Basic concepts of drug metabolism* The role of drug metabolism in the pharmaceutical industry* Analytical techniques in drug metabolism* Common experimental approaches and protocols Drug Metabolism in Drug Design and Development emphasizes practical considerations such as the data needed, the experiments and analytical methods typically employed, and the interpretation and application of data. Chapters highlight facts, common protocols, detailed experimental designs, applications, and limitations of techniques. This is a comprehensive, hands-on reference for drug metabolism researchers as well as other professionals involved in pre-clinical drug discovery and development.

Recent stem cell research has revealed that miRNA and RNAi-mediated gene regulation is one of the vital determinates controlling the state of cell differentiation, with the small RNAs serving as key elements involved in regulatory network control of pluripotent cell fate determination. In RNAi and microRNA-Mediated Gene Regulation in Stem Cells: Methods, Protocols, and Applications, expert authors from laboratories across the globe contribute an accessible compendium of up-to-date, proven methods focused on the study of the titular topic. Divided into three sections, the book first gives a brief introduction to RNAi and miRNAs in stem cells, with a focus on the current status of research and future perspectives, then it continues with detailed methods and protocols for RNAi screening, transfection, and the knockdown of specific genes and pathways in several animal species, including humans and mice, concluding with a section on recently developed methods for identification of miRNAs, including a general protocol for preparation and analysis of miRNA libraries for deep sequencing, knock down of a specific gene using miRNA-based shRNA, and miRNA expression analysis using qRT-PCR. Written in the highly successful Methods in Molecular Biology™ series format, chapters contain introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and notes highlighting tips on troubleshooting and avoiding known pitfalls.Authoritative and cutting-edge, RNAi and microRNA-Mediated Gene Regulation in Stem Cells: Methods, Protocols, and Applications serves as a valuable resource for scientists and aspiring graduate students interested in the intersection of RNAi, miRNA, and stem cell molecular biology and the exciting areas of medicine, including regenerative medicine, aging, cancer, and neurological disorders, that can be advanced through this expanding area of research.

Qu'est-ce qui permet a une communaute de se souvenir de maniere juste ? Comment raconter un passe traverse par l'oubli, la blessure et le silence sans le trahir une seconde fois ? Ces questions se trouvent au c ur de la pensee de Paul Ric ur et rencontrent, de maniere a la fois surprenante et profonde, les intuitions de la longue tradition memorielle chinoise. Chez Ric ur, la memoire est une pratique ethique, une maniere de repondre a l'appel de l'autre a travers le recit. Cette conception rejoint, au-dela des differences culturelles, les meditations chinoises sur l'histoire, la fidelite et la transmission - ou la memoire apparait comme un geste relationnel et une responsabilite partagee.En articulant la philosophie hermeneutique de Ric ur avec les conceptions chinoises de la memoire, l'ouvrage examine trois dimensions essentielles : la connaissance, l'ethique et l'ecriture. Ce dialogue propose une forme de justice memorielle qui, loin de toute cloture ou reconciliation forcee, invite a habiter le passe d'une maniere plus humaine et hospitaliere.