[HTML][HTML] limma powers differential expression analyses for RNA-sequencing and microarray studies
Abstract limma is an R/Bioconductor software package that provides an integrated solution
for analysing data from gene expression experiments. It contains rich features for handling …
for analysing data from gene expression experiments. It contains rich features for handling …
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 …
toolkit. A critical step when analyzing data generated using this technology is normalization …
A benchmark of batch-effect correction methods for single-cell RNA sequencing data
Background Large-scale single-cell transcriptomic datasets generated using different
technologies contain batch-specific systematic variations that present a challenge to batch …
technologies contain batch-specific systematic variations that present a challenge to batch …
Profiling cell type abundance and expression in bulk tissues with CIBERSORTx
CIBERSORTx is a suite of machine learning tools for the assessment of cellular abundance
and cell type-specific gene expression patterns from bulk tissue transcriptome profiles. With …
and cell type-specific gene expression patterns from bulk tissue transcriptome profiles. With …
Early dissemination seeds metastasis in breast cancer
Accumulating data suggest that metastatic dissemination often occurs early during tumour
formation, but the mechanisms of early metastatic spread have not yet been addressed …
formation, but the mechanisms of early metastatic spread have not yet been addressed …
Identification of genomic alterations in oesophageal squamous cell cancer
Oesophageal cancer is one of the most aggressive cancers and is the sixth leading cause of
cancer death worldwide. Approximately 70% of global oesophageal cancer cases occur in …
cancer death worldwide. Approximately 70% of global oesophageal cancer cases occur in …
[HTML][HTML] Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions
Removing the bias and variance of multicentre data has always been a challenge in large
scale digital healthcare studies, which requires the ability to integrate clinical features …
scale digital healthcare studies, which requires the ability to integrate clinical features …
Data analysis guidelines for single-cell RNA-seq in biomedical studies and clinical applications
M Su, T Pan, QZ Chen, WW Zhou, Y Gong, G Xu… - Military Medical …, 2022 - Springer
The application of single-cell RNA sequencing (scRNA-seq) in biomedical research has
advanced our understanding of the pathogenesis of disease and provided valuable insights …
advanced our understanding of the pathogenesis of disease and provided valuable insights …
Interferome v2. 0: an updated database of annotated interferon-regulated genes
I Rusinova, S Forster, S Yu, A Kannan… - Nucleic acids …, 2012 - academic.oup.com
Abstract Interferome v2. 0 (http://interferome. its. monash. edu. au/interferome/) is an update
of an earlier version of the Interferome DB published in the 2009 NAR database edition …
of an earlier version of the Interferome DB published in the 2009 NAR database edition …
Population transcriptomics of human malaria parasites reveals the mechanism of artemisinin resistance
Artemisinin resistance in Plasmodium falciparum threatens global efforts to control and
eliminate malaria. Polymorphisms in the kelch domain–carrying protein K13 are associated …
eliminate malaria. Polymorphisms in the kelch domain–carrying protein K13 are associated …