Harmonization strategies for multicenter radiomics investigations

R Da-Ano, D Visvikis, M Hatt - Physics in Medicine & Biology, 2020 - iopscience.iop.org
Carrying out large multicenter studies is one of the key goals to be achieved towards a faster
transfer of the radiomics approach in the clinical setting. This requires large-scale radiomics …

Tackling the widespread and critical impact of batch effects in high-throughput data

JT Leek, RB Scharpf, HC Bravo, D Simcha… - Nature Reviews …, 2010 - nature.com
High-throughput technologies are widely used, for example to assay genetic variants, gene
and protein expression, and epigenetic modifications. One often overlooked complication …

Microbiome analyses of blood and tissues suggest cancer diagnostic approach

GD Poore, E Kopylova, Q Zhu, C Carpenter… - Nature, 2020 - pmc.ncbi.nlm.nih.gov
Systematic characterization of the cancer microbiome provides a unique opportunity to
develop cancer diagnostics that exploit non-human, microbial-derived molecules in a major …

A practical guide to linking brain-wide gene expression and neuroimaging data

A Arnatkevic̆iūtė, BD Fulcher, A Fornito - Neuroimage, 2019 - Elsevier
The recent availability of comprehensive, brain-wide gene expression atlases such as the
Allen Human Brain Atlas (AHBA) has opened new opportunities for understanding how …

Retinal transcriptome and eQTL analyses identify genes associated with age-related macular degeneration

R Ratnapriya, OA Sosina, MR Starostik, M Kwicklis… - Nature …, 2019 - nature.com
Genome-wide association studies (GWAS) have identified genetic variants at 34 loci
contributing to age-related macular degeneration (AMD),–. We generated transcriptional …

[HTML][HTML] Pan-cancer analyses reveal cancer-type-specific fungal ecologies and bacteriome interactions

L Narunsky-Haziza, GD Sepich-Poore, I Livyatan… - Cell, 2022 - cell.com
Cancer-microbe associations have been explored for centuries, but cancer-associated fungi
have rarely been examined. Here, we comprehensively characterize the cancer mycobiome …

Removing batch effects in analysis of expression microarray data: an evaluation of six batch adjustment methods

C Chen, K Grennan, J Badner, D Zhang, E Gershon… - PloS one, 2011 - journals.plos.org
The expression microarray is a frequently used approach to study gene expression on a
genome-wide scale. However, the data produced by the thousands of microarray studies …

Using control genes to correct for unwanted variation in microarray data

JA Gagnon-Bartsch, TP Speed - Biostatistics, 2012 - academic.oup.com
Microarray expression studies suffer from the problem of batch effects and other unwanted
variation. Many methods have been proposed to adjust microarray data to mitigate the …

Batch effect removal methods for microarray gene expression data integration: a survey

C Lazar, S Meganck, J Taminau… - Briefings in …, 2013 - academic.oup.com
Genomic data integration is a key goal to be achieved towards large-scale genomic data
analysis. This process is very challenging due to the diverse sources of information resulting …

Omics-based strategies in precision medicine: toward a paradigm shift in inborn errors of metabolism investigations

A Tebani, C Afonso, S Marret, S Bekri - International journal of molecular …, 2016 - mdpi.com
The rise of technologies that simultaneously measure thousands of data points represents
the heart of systems biology. These technologies have had a huge impact on the discovery …