Bioinformatics r Program

Building Data Science Pipelines

Продолжаем тему, начатую здесь. Сегодня очередные 15 книжек.
А вообще вот так живешь себе спокойно, живешь, уважаешь всякие ISBN'ы и другие особые приметы книжек... Вдруг — бац! и вторая смена... :)
Ну что ж, в свете доктрины, озвученной Аваксом, постараемся перепереть полечку со старофранцузского на язык партии. :) Посмотрим, как получится — уж больно несимпатичны мне эти палки вертикальные... :)
Если же серьезно, на мой взгляд, архинужную и архиважную статью Авакс написал.

The 170 revised full papers presented were carefully reviewed and selected from 557 submissions. The papers are organized in topical sections on learning and information processing, data mining, retrieval and management, bioinformatics and bio-inspired models, agents and hybrid systems, financial engineering, as well as a special session on nature-inspired date technologies.

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Bioconductor software has become a standard tool for the analysis and comprehension of data from high-throughput genomics experiments. Its application spans a broad field of technologies used in contemporary molecular biology. In this volume, the authors present a collection of cases to apply Bioconductor tools in the analysis of microarray gene expression data. Topics covered include

Bioconductor software has become a standard tool for the analysis and comprehension of data from high-throughput genomics experiments. Its application spans a broad field of technologies used in contemporary molecular biology. In this volume, the authors present a collection of cases to apply Bioconductor tools in the analysis of microarray gene expression data. Topics covered include