相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。limma powers differential expression analyses for RNA-sequencing and microarray studies
Matthew E. Ritchie et al.
NUCLEIC ACIDS RESEARCH (2015)
HTSeq-a Python framework to work with high-throughput sequencing data
Simon Anders et al.
BIOINFORMATICS (2015)
Comparison of software packages for detecting differential expression in RNA-seq studies
Fatemeh Seyednasrollah et al.
BRIEFINGS IN BIOINFORMATICS (2015)
Translating a gene expression signature for multiple myeloma prognosis into a robust high-throughput assay for clinical use
Ryan van Laar et al.
BMC MEDICAL GENOMICS (2014)
Multi-platform assessment of transcriptome profiling using RNA-seq in the ABRF next-generation sequencing study
Sheng Li et al.
NATURE BIOTECHNOLOGY (2014)
The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance
Charles Wang et al.
NATURE BIOTECHNOLOGY (2014)
Detecting and correcting systematic variation in large-scale RNA sequencing data
Sheng Li et al.
NATURE BIOTECHNOLOGY (2014)
A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium
Zhenqiang Su et al.
NATURE BIOTECHNOLOGY (2014)
voom: precision weights unlock linear model analysis tools for RNA-seq read counts
Charity W. Law et al.
GENOME BIOLOGY (2014)
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Michael I. Love et al.
GENOME BIOLOGY (2014)
A comparison of methods for differential expression analysis of RNA-seq data
Charlotte Soneson et al.
BMC BIOINFORMATICS (2013)
A comprehensive evaluation of normalization methods for Illumina high-throughput RNA sequencing data analysis
Marie-Agnes Dillies et al.
BRIEFINGS IN BIOINFORMATICS (2013)
Effects on survival of BAP1 and PBRM1 mutations in sporadic clear-cell renal-cell carcinoma: a retrospective analysis with independent validation
Payal Kapur et al.
LANCET ONCOLOGY (2013)
Comprehensivemolecular characterization of clear cell renal cell carcinoma
Chad J. Creighton et al.
NATURE (2013)
Differential analysis of gene regulation at transcript resolution with RNA-seq
Cole Trapnell et al.
NATURE BIOTECHNOLOGY (2013)
Integrated molecular analysis of clear-cell renal cell carcinoma
Yusuke Sato et al.
NATURE GENETICS (2013)
TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions
Daehwan Kim et al.
GENOME BIOLOGY (2013)
Comprehensive evaluation of differential gene expression analysis methods for RNA-seq data
Franck Rapaport et al.
GENOME BIOLOGY (2013)
Normalization, testing, and false discovery rate estimation for RNA-sequencing data
Jun Li et al.
BIOSTATISTICS (2012)
Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation
Davis J. McCarthy et al.
NUCLEIC ACIDS RESEARCH (2012)
Synthetic spike-in standards for RNA-seq experiments
Lichun Jiang et al.
GENOME RESEARCH (2011)
Differential expression in RNA-seq: A matter of depth
Sonia Tarazona et al.
GENOME RESEARCH (2011)
Genetic and Functional Studies Implicate HIF1α as a 14q Kidney Cancer Suppressor Gene
Chuan Shen et al.
CANCER DISCOVERY (2011)
edgeR: a Bioconductor package for differential expression analysis of digital gene expression data
Mark D. Robinson et al.
BIOINFORMATICS (2010)
Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments
James H. Bullard et al.
BMC BIOINFORMATICS (2010)
baySeq: Empirical Bayesian methods for identifying differential expression in sequence count data
Thomas J. Hardcastle et al.
BMC BIOINFORMATICS (2010)
External Validation of the Mayo Clinic Stage, Size, Grade, and Necrosis (SSIGN) Score for Clear-Cell Renal Cell Carcinoma in a Single European Centre Applying Routine Pathology
Richard Zigeuner et al.
EUROPEAN UROLOGY (2010)
Differential expression analysis for sequence count data
Simon Anders et al.
GENOME BIOLOGY (2010)
Optimized detection of differential expression in global profiling experiments: case studies in clinical transcriptomic and quantitative proteomic datasets
Laura L. Elo et al.
BRIEFINGS IN BIOINFORMATICS (2009)
Absence of VHL gene alteration and high VEGF expression are associated with tumour aggressiveness and poor survival of renal-cell carcinoma
J-J Patard et al.
BRITISH JOURNAL OF CANCER (2009)
Reproducibility-optimized test statistic for ranking genes in microarray studies
Laura L. Elo et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2008)
A validated gene expression model of high-risk multiple myeloma is defined by deregulated expression of genes mapping to chromosome 1
John D. Shaughnessy et al.
BLOOD (2007)
Contrasting properties of hypoxia-inducible factor 1 (HIF-1) and HIF-2 in von Hippel-Lindau-associated renal cell carcinoma
RR Raval et al.
MOLECULAR AND CELLULAR BIOLOGY (2005)
Significance analysis of microarrays applied to the ionizing radiation response
VG Tusher et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2001)
分享论文
