[HTML][HTML] The metaRbolomics Toolbox in Bioconductor and beyond

J Stanstrup, CD Broeckling, R Helmus, N Hoffmann… - Metabolites, 2019 - mdpi.com
Metabolomics aims to measure and characterise the complex composition of metabolites in
a biological system. Metabolomics studies involve sophisticated analytical techniques such …

A machine learning case–control classifier for schizophrenia based on DNA methylation in blood

CJ Gunasekara, E Hannon, H MacKay, C Coarfa… - Translational …, 2021 - nature.com
Epigenetic dysregulation is thought to contribute to the etiology of schizophrenia (SZ), but
the cell type-specificity of DNA methylation makes population-based epigenetic studies of …

A quantitative multivariate model of human dendritic cell-T helper cell communication

M Grandclaudon, M Perrot-Dockes, C Trichot, L Karpf… - Cell, 2019 - cell.com
Cell-cell communication involves a large number of molecular signals that function as words
of a complex language whose grammar remains mostly unknown. Here, we describe an …

Feature selection for kernel methods in systems biology

C Brouard, J Mariette, R Flamary… - NAR genomics and …, 2022 - academic.oup.com
The substantial development of high-throughput biotechnologies has rendered large-scale
multi-omics datasets increasingly available. New challenges have emerged to process and …

[PDF][PDF] Identification of antimycobacterial from actinobacteria (INACC A758) secondary metabolites using metabolomics data

MD Rakhmawatie, PL Mustofa, WR Pratiwi, T Wibawa - Sains Malays, 2022 - ukm.my
Actinobacteria produce active secondary metabolite with medicinal properties, such as
antibacterial or anticancer. However, there are some reports about the difficulties in …

Estimation of large block structured covariance matrices: Application to 'multi-omic'approaches to study seed quality

M Perrot-Dockes, C Lévy-Leduc… - Journal of the Royal …, 2022 - academic.oup.com
Motivated by an application in high-throughput genomics and metabolomics, we propose a
novel and fully data-driven approach for estimating large block structured sparse covariance …

Unlocking the Mycorrhizal Nitrogen Pathway Puzzle: Metabolic Modelling and multi-omics unveil Pyrimidines' Role in Maize Nutrition via Arbuscular Mycorrhizal Fungi …

B Decouard, NB Chowdhury, A Saou, M Rigault… - bioRxiv, 2023 - biorxiv.org
Maize is currently the most productive cereal crop in the world (www. faostat. org). Maize can
form a symbiotic relationship with the Arbuscular Mycorrhizal Fungus (AMF), Rhizophagus …

Méthodes régularisées pour l'analyse de données multivariées en grande dimension: théorie et applications.

MPD Perrot-Dockès - 2019 - theses.hal.science
Dans cette thèse nous nous intéressons au modèle linéaire général (modèle linéaire
multivarié) en grande dimension. Nous proposons un nouvel estimateur parcimonieux des …