[HTML][HTML] limma powers differential expression analyses for RNA-sequencing and microarray studies

ME Ritchie, B Phipson, DI Wu, Y Hu… - Nucleic acids …, 2015 - academic.oup.com
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 …

Normalizing single-cell RNA sequencing data: challenges and opportunities

CA Vallejos, D Risso, A Scialdone, S Dudoit… - Nature …, 2017 - nature.com
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 …

A benchmark of batch-effect correction methods for single-cell RNA sequencing data

HTN Tran, KS Ang, M Chevrier, X Zhang, NYS Lee… - Genome biology, 2020 - Springer
Background Large-scale single-cell transcriptomic datasets generated using different
technologies contain batch-specific systematic variations that present a challenge to batch …

Profiling cell type abundance and expression in bulk tissues with CIBERSORTx

CB Steen, CL Liu, AA Alizadeh… - Stem Cell Transcriptional …, 2020 - Springer
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 …

Early dissemination seeds metastasis in breast cancer

H Hosseini, MMS Obradović, M Hoffmann, KL Harper… - Nature, 2016 - nature.com
Accumulating data suggest that metastatic dissemination often occurs early during tumour
formation, but the mechanisms of early metastatic spread have not yet been addressed …

Identification of genomic alterations in oesophageal squamous cell cancer

Y Song, L Li, Y Ou, Z Gao, E Li, X Li, W Zhang, J Wang… - Nature, 2014 - nature.com
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 …

[HTML][HTML] Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions

Y Nan, J Del Ser, S Walsh, C Schönlieb, M Roberts… - Information …, 2022 - Elsevier
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 …

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 …

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 …

Population transcriptomics of human malaria parasites reveals the mechanism of artemisinin resistance

S Mok, EA Ashley, PE Ferreira, L Zhu, Z Lin, T Yeo… - Science, 2015 - science.org
Artemisinin resistance in Plasmodium falciparum threatens global efforts to control and
eliminate malaria. Polymorphisms in the kelch domain–carrying protein K13 are associated …