Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.
Please read the tutorial at this link. https://ebooknice.com/page/post?id=faq
We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.
For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.
EbookNice Team
Status:
Available4.6
28 reviewsISBN 10: 1771880198
ISBN 13: 9781482246629
Author: Yu Liu
Part I: RNA-Seq
Chapter 1: The Bench Scientist's Guide to Statistical Analysis of RNA-Seq Data
Chapter 2: Assembly of Non-Unique Insertion Content Using Next-Generation Sequencing
Chapter 3: RSEM: Accurate Transcript Quantification from RNA-Seq Data With or Without a Reference Ge
Part II: Microarray
Chapter 4: A Regression System for Estimation of Errors Introduced by Confocal Imaging into Gene Exp
Chapter 5: SPACE: An Algorithm to Predict and Quantify Alternatively Spliced Isoforms Using Microarr
Chapter 6: Link-Based Quantitative Methods to Identify Differentially Coexpressed Genes and Gene Pai
Chapter 7: Dimension Reduction with Gene Expression Data Using Targeted Variable Importance Measurem
Part III: GWAS
Chapter 8: Genome-Wide Association Study of Stevens-Johnson Syndrome and Toxic Epidermal Necrolysis
Chapter 9: Genotyping Common and Rare Variation Using Overlapping Pool Sequencing
Chapter 10: Learning Genetic Epistasis Using Bayesian Network Scoring Criteria
Chapter 11: Combined Analysis of Three Genome-Wide Association Studies on vWF and FVIII Plasma Level
Part IV: Proteomics
Chapter 12: Statistical Methods for Quantitative Mass Spectrometry Proteomic Experiments with Labeli
Chapter 13: MRCQuant: An Accurate LC-MS Relative Isotopic Quantification Algorithm on TOF Instru
bioinformatics impact
bioinformatics impact factor
bioinformatics journal impact factor
bioinformatics is the study of
bioinformatics is the
Tags: Yu Liu, Bioinformatics, Accurate Quantification, Genetic Analysis