Leukemia multiclass assessment and classification from Microarray and RNA-seq technologies integration at gene expression level
نویسندگان
چکیده
منابع مشابه
Comparing Bioinformatic Gene Expression Profiling Methods: Microarray and RNA-Seq
Understanding the control of gene expression is critical for our understanding of the relationship between genotype and phenotype. The need for reliable assessment of transcript abundance in biological samples has driven scientists to develop novel technologies such as DNA microarray and RNA-Seq to meet this demand. This review focuses on comparing the two most useful methods for whole transcri...
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Here we walk through an end-to-end gene-level RNA-Seq differential expression workflow using Bioconductor packages. We will start from the FASTQ files, show how these were aligned to the reference genome, and prepare a count matrix which tallies the number of RNA-seq reads/fragments within each gene for each sample. We will perform exploratory data analysis (EDA) for quality assessment and to e...
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Article history: Received 25 January 2014 Received in revised form 8 April 2014 Accepted 20 April 2014 Available online 10 May 2014
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A basic task in the analysis of count data from RNA-Seq is the detection of differentially expressed genes. The count data are presented as a table which reports, for each sample, the number of reads that have been assigned to a gene. Analogous analyses also arise for other assay types, such as comparative ChIP-Seq. The package DESeq provides methods to test for differential expression by use o...
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ژورنال
عنوان ژورنال: PLOS ONE
سال: 2019
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0212127