TY - BOOK
AU - Datta, Somnath
AU - Nettleton, Dan
TI - Statistical analysis of next generation sequencing data
PB - Springer
SN - 9783319072111
KW - Oncology
KW - Human genetics
KW - Statistics
KW - Aufsatzsammlung
KW - Statistik
KW - RNS
KW - Sequenzanalyse Chemie
PY - c 2014
N2 - Literaturangaben
N2 - Statistical Analyses of Next Generation Sequencing Data: An Overview -- Using RNA-seq Data to Detect Differentially Expressed Genes -- Differential Expression Analysis of Complex RNA-seq Experiments Using edgeR -- Analysis of Next Generation Sequencing Data Using Integrated Nested Laplace Approximation (INLA) -- Design of RNA Sequencing Experiments -- Measurement, Summary, and Methodological Variation in RNA-sequencing -- Functional PCA for differential expression testing with RNA-seq data -- Mapping of Expression Quantitative Trait Loci using RNA-seq Data -- The Role of Spike-In Standards in the Normalization of RNA-seq -- Cluster Analysis of RNA-sequencing Data -- Classification of RNA-seq Data -- Isoform Expression Analysis Based on RNA-seq Data -- RNA Isoform Discovery Through Goodness of Fit Diagnostics -- MOSAiCS-HMM: A Model-based Approach for Detecting Regions of Histone Modifications from ChIP-seq Data -- Hierarchical Bayesian Models for ChIP-Seq Data -- Genotype Calling and Haplotype Phasing from Next Generation Sequencing Data.- Analysis of Metagenomic Data -- Detecting Copy Number Changes and Structural Rearrangements using DNA Sequencing -- Statistical Methods for the Analysis of Next Generation Sequence Data from Paired Tumor-Normal Samples -- Statistical Considerations in the Analysis of Rare Variants.
BT - Frontiers in Probability and the Statistical Sciences
BT - SpringerLink ; Bücher
CY - Cham
UR - http://slubdd.de/katalog?TN_libero_mab2
ER -
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