Cargando…

Dynamic Model for RNA-seq Data Analysis

By measuring messenger RNA levels for all genes in a sample, RNA-seq provides an attractive option to characterize the global changes in transcription. RNA-seq is becoming the widely used platform for gene expression profiling. However, real transcription signals in the RNA-seq data are confounded w...

Descripción completa

Detalles Bibliográficos
Autores principales:	Li, Lerong, Xiong, Momiao
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi Publishing Corporation 2015
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4539434/ https://www.ncbi.nlm.nih.gov/pubmed/26346000 http://dx.doi.org/10.1155/2015/916352

Ejemplares similares

Canonical correlation analysis for RNA-seq co-expression networks
por: Hong, Shengjun, et al.
Publicado: (2013)

Temporal dynamics in meta longitudinal RNA-Seq data
por: Oh, Sunghee, et al.
Publicado: (2019)

Functional regression method for whole genome eQTL epistasis analysis with sequencing data
por: Xu, Kelin, et al.
Publicado: (2017)

Modeling Exon-Specific Bias Distribution Improves the Analysis of RNA-Seq Data
por: Liu, Xuejun, et al.
Publicado: (2015)

Differential Expression Analysis for RNA-Seq Data
por: Gupta, Rashi, et al.
Publicado: (2012)

Interactive Analysis, Exploration, and Visualization of RNA-Seq Data with SeqCVIBE
por: Bothos, Efthimios, et al.
Publicado: (2022)

Identification of lung‐specific genes by meta‐analysis of multiple tissue RNA‐seq data
por: Xiong, Min, et al.
Publicado: (2016)

A new statistical framework for genetic pleiotropic analysis of high dimensional phenotype data
por: Wang, Panpan, et al.
Publicado: (2016)

Negative binomial additive model for RNA-Seq data analysis
por: Ren, Xu, et al.
Publicado: (2020)

A quadratically regularized functional canonical correlation analysis for identifying the global structure of pleiotropy with NGS data
por: Lin, Nan, et al.
Publicado: (2017)

Integrated analysis of mutations, miRNA and mRNA expression in glioblastoma
por: Dong, Hua, et al.
Publicado: (2010)

Functional Regression Models for Epistasis Analysis of Multiple Quantitative Traits
por: Zhang, Futao, et al.
Publicado: (2016)

Assessment of data transformations for model-based clustering of RNA-Seq data
por: Noel-MacDonnell, Janelle R., et al.
Publicado: (2018)

Temporal Dynamic Methods for Bulk RNA-Seq Time Series Data
por: Oh, Vera-Khlara S., et al.
Publicado: (2021)

Epistasis analysis for quantitative traits by functional regression model
por: Zhang, Futao, et al.
Publicado: (2014)

Statistical Issues in the Analysis of ChIP-Seq and RNA-Seq Data
por: Ghosh, Debashis, et al.
Publicado: (2010)

ProkSeq for complete analysis of RNA-Seq data from prokaryotes
por: Mahmud, A K M Firoj, et al.
Publicado: (2020)

The Impact of Normalization Methods on RNA-Seq Data Analysis
por: Zyprych-Walczak, J., et al.
Publicado: (2015)

Causal Genomic and Epigenomic Network Analysis emerges as a New Generation of Genetic Studies of Complex Diseases
por: Xiong, Momiao
Publicado: (2015)

Extended Kalman Filter for Estimation of Parameters in Nonlinear State-Space Models of Biochemical Networks
por: Sun, Xiaodian, et al.
Publicado: (2008)

Computational analysis of bacterial RNA-Seq data
por: McClure, Ryan, et al.
Publicado: (2013)

GSAASeqSP: A Toolset for Gene Set Association Analysis of RNA-Seq Data
por: Xiong, Qing, et al.
Publicado: (2014)

RNA-Seq Count Data Modelling by Grey Relational Analysis and Nonparametric Gaussian Process
por: Nguyen, Thanh, et al.
Publicado: (2016)

Differential Dynamic Properties of Scleroderma Fibroblasts in Response to Perturbation of Environmental Stimuli
por: Xiong, Momiao, et al.
Publicado: (2008)

Characterizing RNA stability genome-wide through combined analysis of PRO-seq and RNA-seq data
por: Blumberg, Amit, et al.
Publicado: (2021)

Comprehensive analysis of scRNA-Seq and bulk RNA-Seq reveals dynamic changes in the tumor immune microenvironment of bladder cancer and establishes a prognostic model
por: Tan, Zhiyong, et al.
Publicado: (2023)

Statistical Analysis of High-Dimensional Genetic Data in Complex Traits
por: Park, Taesung, et al.
Publicado: (2015)

Deep annotation of long noncoding RNAs by assembling RNA-seq and small RNA-seq data
por: Zhang, Jiaming, et al.
Publicado: (2023)

Differential expression analysis for paired RNA-seq data
por: Chung, Lisa M, et al.
Publicado: (2013)

Dynamic Analysis of Gene Expression in Rice Superior and Inferior Grains by RNA-Seq
por: Sun, Hongzheng, et al.
Publicado: (2015)

An Efficient and Flexible Method for Deconvoluting Bulk RNA-Seq Data with Single-Cell RNA-Seq Data
por: Sun, Xifang, et al.
Publicado: (2019)

Revealing transcription factor and histone modification co-localization and dynamics across cell lines by integrating ChIP-seq and RNA-seq data
por: Zhang, Lirong, et al.
Publicado: (2018)

Genome-Wide Analysis of Yeast Metabolic Cycle through Metabolic Network Models Reveals Superiority of Integrated ATAC-seq Data over RNA-seq Data
por: Cesur, Müberra Fatma, et al.
Publicado: (2022)

RNA editing in the human ENCODE RNA-seq data
por: Park, Eddie, et al.
Publicado: (2012)

Investigation gene and microRNA expression in glioblastoma
por: Dong, Hua, et al.
Publicado: (2010)

PDEGEM: Modeling non-uniform read distribution in RNA-Seq data
por: Xia, Yuchao, et al.
Publicado: (2015)

Intrinsic entropy model for feature selection of scRNA-seq data
por: Li, Lin, et al.
Publicado: (2022)

MyBrain-Seq: A Pipeline for MiRNA-Seq Data Analysis in Neuropsychiatric Disorders
por: Pérez-Rodríguez, Daniel, et al.
Publicado: (2023)

ARH-seq: identification of differential splicing in RNA-seq data
por: Rasche, Axel, et al.
Publicado: (2014)

Establishment of a prognostic model based on m(6)A regulatory factors and stemness of hepatocellular carcinoma using RNA-seq data and scRNA-seq data
por: Liang, Yan, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_bmfuf6hv3i5atr6bffkmfbf6jq