Robustly detecting differential expression in RNA sequencing data using observation weights

X Zhou, H Lindsay, MD Robinson - Nucleic acids research, 2014 - academic.oup.com
A popular approach for comparing gene expression levels between (replicated) conditions
of RNA sequencing data relies on counting reads that map to features of interest. Within …

Robustly detecting differential expression in RNA sequencing data using observation weights.

X Zhou, H Lindsay, MD Robinson - Nucleic acids research, 2014 - folia.unifr.ch
English A popular approach for comparing gene expression levels between (replicated)
conditions of RNA sequencing data relies on counting reads that map to features of interest …

Robustly detecting differential expression in RNA sequencing data using observation weights

X Zhou, H Lindsay, MD Robinson - Nucleic Acids Research, 2014 - doc.rero.ch
A popular approach for comparing gene expression levels between (replicated) conditions
of RNA sequencing data relies on counting reads that map to features of interest. Within …

Robustly detecting differential expression in RNA sequencing data using observation weights

X Zhou, H Lindsay, MD Robinson - Nucleic Acids Research, 2014 - zora.uzh.ch
A popular approach for comparing gene expression levels between (replicated) conditions
of RNA sequencing data relies on counting reads that map to features of interest. Within …

[PDF][PDF] Robustly detecting differential expression in RNA sequencing data using observation weights

X Zhou, H Lindsay, MD Robinson - Nucleic Acids Research, 2014 - core.ac.uk
ABSTRACT A popular approach for comparing gene expression levels between (replicated)
conditions of RNA sequencing data relies on counting reads that map to features of interest …

Robustly detecting differential expression in RNA sequencing data using observation weights

X Zhou, H Lindsay… - Nucleic acids research, 2014 - pubmed.ncbi.nlm.nih.gov
A popular approach for comparing gene expression levels between (replicated) conditions
of RNA sequencing data relies on counting reads that map to features of interest. Within …

Robustly detecting differential expression in RNA sequencing data using observation weights.

X Zhou, H Lindsay, MD Robinson - Nucleic Acids Research, 2014 - europepmc.org
A popular approach for comparing gene expression levels between (replicated) conditions
of RNA sequencing data relies on counting reads that map to features of interest. Within …

Robustly detecting differential expression in RNA sequencing data using observation weights

X Zhou, H Lindsay, MD Robinson - arXiv preprint arXiv:1312.3382, 2013 - arxiv.org
A popular approach for comparing gene expression levels between (replicated) conditions
of RNA sequencing data relies on counting reads that map to features of interest. Within …

[PDF][PDF] Robustly detecting differential expression in RNA sequencing data using observation weights

X Zhou, H Lindsay… - arXiv preprint arXiv …, 2013 - imlspenticton.uzh.ch
A popular approach for comparing gene expression levels between (replicated) conditions
of RNA sequencing data relies on counting reads that map to features of interest. Within …

[PDF][PDF] Robustly detecting differential expression in RNA sequencing data using observation weights

X Zhou, H Lindsay, MD Robinson - Nucleic Acids Research, 2014 - researchgate.net
ABSTRACT A popular approach for comparing gene expression levels between (replicated)
conditions of RNA sequencing data relies on counting reads that map to features of interest …