منابع مشابه
An Integrated Approach for RNA-seq Data Normalization
BACKGROUND DNA copy number alteration is common in many cancers. Studies have shown that insertion or deletion of DNA sequences can directly alter gene expression, and significant correlation exists between DNA copy number and gene expression. Data normalization is a critical step in the analysis of gene expression generated by RNA-seq technology. Successful normalization reduces/removes unwant...
متن کاملEDASeq: Exploratory Data Analysis and Normalization for RNA-Seq
In this document, we show how to conduct Exploratory Data Analysis (EDA) and normalization for a typical RNA-Seq experiment using the package EDASeq . One can think of EDA for RNA-Seq as a two-step process: “read-level” EDA helps in discovering lanes with low sequencing depths, quality issues, and unusual nucleotide frequencies, while “gene-level” EDA can capture mislabeled lanes, issues with d...
متن کاملThe Impact of Normalization Methods on RNA-Seq Data Analysis
High-throughput sequencing technologies, such as the Illumina Hi-seq, are powerful new tools for investigating a wide range of biological and medical problems. Massive and complex data sets produced by the sequencers create a need for development of statistical and computational methods that can tackle the analysis and management of data. The data normalization is one of the most crucial steps ...
متن کاملThe DaMiRseq package - Data Mining for RNA-Seq data: normalization, feature selection and classification
RNA-Seq is increasingly the method of choice for researchers studying the transcriptome. The strategies to analyze such complex high-dimensional data rely on data mining and statistical learning techniques. The DaMiRseq package offers a tidy pipeline that includes data mining procedures for data handling and implementation of prediction learning methods to build classification models. The packa...
متن کاملNormalization and noise reduction for single cell RNA-seq experiments
UNLABELLED A major roadblock towards accurate interpretation of single cell RNA-seq data is large technical noise resulted from small amount of input materials. The existing methods mainly aim to find differentially expressed genes rather than directly de-noise the single cell data. We present here a powerful but simple method to remove technical noise and explicitly compute the true gene expre...
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ژورنال
عنوان ژورنال: BMC Bioinformatics
سال: 2011
ISSN: 1471-2105
DOI: 10.1186/1471-2105-12-480