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.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!