author = { Datta, Somnath AND Nettleton, Dan },

title = { Statistical analysis of next generation sequencing data },

publisher = {Springer},

isbn = {9783319072111},

keywords = { Oncology , Human genetics , Statistics , Aufsatzsammlung , Statistik , RNS , Sequenzanalyse Chemie },

year = {c 2014},

abstract = {Literaturangaben},

abstract = {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.},

booktitle = {Frontiers in Probability and the Statistical Sciences},

booktitle = {SpringerLink ; Bücher},

address = { Cham },

url = { http://slubdd.de/katalog?TN_libero_mab2 }