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Data Analysis for Omic Sciences: Methods and Applications, Volume
82, shows how these types of challenging datasets can be analyzed.
Examples of applications in real environmental, clinical and food
analysis cases help readers disseminate these approaches. Chapters
of note include an Introduction to Data Analysis Relevance in the
Omics Era, Omics Experimental Design and Data Acquisition,
Microarrays Data, Analysis of High-Throughput RNA Sequencing Data,
Analysis of High-Throughput DNA Bisulfite Sequencing Data, Data
Quality Assessment in Untargeted LC-MS Metabolomic, Data
Normalization and Scaling, Metabolomics Data Preprocessing, and
more.
Designed to serve as the first point of reference on the subject,
"Comprehensive Chemometrics" presents an integrated summary of the
present state of chemical and biochemical data analysis and
manipulation. The work covers all major areas ranging from
statistics to data acquisition, analysis, and applications.
This major reference work provides broad-ranging, validated
summaries of the major topics in chemometrics-with chapter
introductions and advanced reviews for each area. The level of
material is appropriate for graduate students as well as active
researchers seeking a ready reference on obtaining and analyzing
scientific data.
-features the contributions of leading experts from 21 countries,
under the guidance of the Editors-in-Chief and a team of specialist
Section Editors: L. Buydens; D. Coomans; P. Van Espen; A. De Juan;
J.H. Kalivas; B.K. Lavine; R. Leardi; R. Phan-Tan-Luu; L.A.
Sarabia; and J. Trygg
-examines the merits and limitations of each technique through
practical examples
and extensive visuals: 368 tables and more than 1,300 illustrations
(750 in full color)
-integrates coverage of chemical and biological methods, allowing
readers to consider and test a range of techniques
-consists of 2,200 pages and more than 90 review articles, making
it the most comprehensive work of its kind
-offers print and online purchase options, the latter of which
delivers flexibility, accessibility, and usability through the
search tools and other productivity-enhancing features of
ScienceDirect
Comprehensive Chemometrics, Second Edition, Four Volume Set
features expanded and updated coverage, along with new content that
covers advances in the field since the previous edition published
in 2009. Subject of note include updates in the fields of
multidimensional and megavariate data analysis, omics data
analysis, big chemical and biochemical data analysis, data fusion
and sparse methods. The book follows a similar structure to the
previous edition, using the same section titles to frame articles.
Many chapters from the previous edition are updated, but there are
also many new chapters on the latest developments.
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