Learning microbial interaction networks from NGS data. Ecole-chercheur Métaprogramme Métaomique des Ecosystèmes Microbien
Integrating multiomics datasets is critical for microbiome research; however, inferring interactions...
The table of OTUs for all the samples at the genus level with data standardization. (XLS 26 kb
The overall research goal of this PhD project is to develop scalable data mining and machine learnin...
Learning microbial interaction networks from NGS data. Ecole-chercheur Métaprogramme Métaomique des ...
Deciphering microbial interactions in the phyllosphere. Séminaires de l'UMR Biogec
NGS Data Accompanying "Deep Learning Enables Design of Multifunctional Synthetic Human Gut Microbiom...
Investigating microbial networks in the phyllosphere using high-throughput sequencing. Formation "Tr...
Network science in ecology. Séminaires de l'UMR Mathématiques et Informatique Appliquées, AgroParisT...
Machine Learning methodologies in the discovery of the interaction between genes in complex disease
Climate change and other human-induced processes are modifying ecosystems, globally, at an ever incr...
Les matériaux dans leur environnement sont soumis à l’action des microorganismes dont l’activité peu...
The nonlinear correlation coefficient of OTU pairs predicted by RMN algorithm. (XLS 20 kb
Additional file 1: A) Jaccardian distances between the microbial genera detection profiles within th...
L'évolution des technologies et des méthodes d'analyse nous permet désormais d'aborder des environne...
Monitoring microbial networks: current challenges. Atelier Réseaux Trophiques 2 (ART2) - Reconciling...
Integrating multiomics datasets is critical for microbiome research; however, inferring interactions...
The table of OTUs for all the samples at the genus level with data standardization. (XLS 26 kb
The overall research goal of this PhD project is to develop scalable data mining and machine learnin...
Learning microbial interaction networks from NGS data. Ecole-chercheur Métaprogramme Métaomique des ...
Deciphering microbial interactions in the phyllosphere. Séminaires de l'UMR Biogec
NGS Data Accompanying "Deep Learning Enables Design of Multifunctional Synthetic Human Gut Microbiom...
Investigating microbial networks in the phyllosphere using high-throughput sequencing. Formation "Tr...
Network science in ecology. Séminaires de l'UMR Mathématiques et Informatique Appliquées, AgroParisT...
Machine Learning methodologies in the discovery of the interaction between genes in complex disease
Climate change and other human-induced processes are modifying ecosystems, globally, at an ever incr...
Les matériaux dans leur environnement sont soumis à l’action des microorganismes dont l’activité peu...
The nonlinear correlation coefficient of OTU pairs predicted by RMN algorithm. (XLS 20 kb
Additional file 1: A) Jaccardian distances between the microbial genera detection profiles within th...
L'évolution des technologies et des méthodes d'analyse nous permet désormais d'aborder des environne...
Monitoring microbial networks: current challenges. Atelier Réseaux Trophiques 2 (ART2) - Reconciling...
Integrating multiomics datasets is critical for microbiome research; however, inferring interactions...
The table of OTUs for all the samples at the genus level with data standardization. (XLS 26 kb
The overall research goal of this PhD project is to develop scalable data mining and machine learnin...