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Normalization of RNA-seq data using factor analysis of control genes or samples
Normalization of RNA-sequencing (RNA-seq) data has proven essential to ensure accurate inference of expression levels. Here, we show that usual normalization approaches mostly account for sequencingExpand
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GC-Content Normalization for RNA-Seq Data
BackgroundTranscriptome sequencing (RNA-Seq) has become the assay of choice for high-throughput studies of gene expression. However, as is the case with microarrays, major technology-relatedExpand
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Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics
BackgroundSingle-cell transcriptomics allows researchers to investigate complex communities of heterogeneous cells. It can be applied to stem cells and their descendants in order to chart theExpand
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A general and flexible method for signal extraction from single-cell RNA-seq data
Single-cell RNA-sequencing (scRNA-seq) is a powerful high-throughput technique that enables researchers to measure genome-wide transcription levels at the resolution of single cells. Because of theExpand
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Normalizing single-cell RNA sequencing data: challenges and opportunities
Single-cell transcriptomics is becoming an important component of the molecular biologist's toolkit. A critical step when analyzing data generated using this technology is normalization. However,Expand
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Deconstructing Olfactory Stem Cell Trajectories at Single-Cell Resolution.
A detailed understanding of the paths that stem cells traverse to generate mature progeny is vital for elucidating the mechanisms governing cell fate decisions and tissue homeostasis. Adult stemExpand
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Non-neuronal expression of SARS-CoV-2 entry genes in the olfactory system suggests mechanisms underlying COVID-19-associated anosmia
Altered olfactory function is a common symptom of COVID-19, but its etiology is unknown. A key question is whether SARS-CoV-2 (CoV-2) – the causal agent in COVID-19 – affects olfaction directly byExpand
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A modified LOESS normalization applied to microRNA arrays: a comparative evaluation
MOTIVATION Microarray normalization is a fundamental step in removing systematic bias and noise variability caused by technical and experimental artefacts. Several approaches, suitable forExpand
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A-MADMAN: Annotation-based microarray data meta-analysis tool
BackgroundPublicly available datasets of microarray gene expression signals represent an unprecedented opportunity for extracting genomic relevant information and validating biological hypotheses.Expand
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Orchestrating Single-Cell Analysis with Bioconductor
Recent developments in experimental technologies such as single-cell RNA sequencing have enabled the profiling a high-dimensional number of genome-wide features in individual cells, inspiring theExpand
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