FunNet: an integrative tool for exploring transcriptional interactions. - Edi Prifti; Jean-Daniel Zucker; Karine Clément; Corneliu Henegar (Bioinform., 2008)

Interactional and functional centrality in transcriptional co-expression networks. - Edi Prifti; Jean-Daniel Zucker; Karine Clément; Corneliu Henegar (Bioinform., 2010)

Alterations of the human gut microbiome in liver cirrhosis. - Nan Qin; Fengling Yang; Ang Li; Edi Prifti; Yanfei Chen; Li Shao; Jing Guo; Emmanuelle Le Chatelier; Jian Yao; Lingjiao Wu; Jiawei Zhou; Shujun Ni; et al. (Nat., 2014)

Disentangling type 2 diabetes and metformin treatment signatures in the human gut microbiota. - Kristoffer Forslund; Falk Hildebrand; Trine Nielsen; Gwen Falony; Emmanuelle Le Chatelier; Shinichi Sunagawa; Edi Prifti; Sara Vieira-Silva; Valborg Gudmundsdottir; Helle Krogh Pedersen; Manimozhiyan Arumugam; Karsten Kristiansen; et al. (Nat., 2015)

Spectral consensus strategy for accurate reconstruction of large biological networks. - Séverine Affeldt; Nataliya Sokolovska; Edi Prifti; Jean-Daniel Zucker (BMC Bioinform., 2016)

Efficient global network learning from local reconstructions. - Séverine Affeldt; Nataliya Sokolovska; Edi Prifti; Jean-Daniel Zucker (IJCNN, 2017)

Deep Learning for Metagenomic Data: using 2D Embeddings and Convolutional Neural Networks. - Thanh Hai Nguyen 001; Yann Chevaleyre; Edi Prifti; Nataliya Sokolovska; Jean-Daniel Zucker (CoRR, 2017)

Disease Classification in Metagenomics with 2D Embeddings and Deep Learning. - Thanh Hai Nguyen 001; Edi Prifti; Yann Chevaleyre; Nataliya Sokolovska; Jean-Daniel Zucker (CoRR, 2018)

Disease Prediction Using Synthetic Image Representations of Metagenomic Data and Convolutional Neural Networks. - Thanh Hai Nguyen 001; Edi Prifti; Nataliya Sokolovska; Jean-Daniel Zucker (RIVF, 2019)

QMSpy: An Integrated Modular and Scalable Platform for Quantitative Metagenomics in Pyspark. - Ari Ugarte; Minh Quang-Dao; Bich Hai Ho; Chloe Vigliotti; Eugeni Belda; Jean-Daniel Zucker; Edi Prifti (RIVF, 2019)

Identification of Non-Plant Elements in Herbarium Images Using YOLO. - Youcef Sklab; Hanane Ariouat; Edi Prifti; Jean-Daniel Zucker; Eric Chenin (CARI, 2024)

Enhancing YOLOv7 for Plant Organs Detection Using Attention-Gate Mechanism. - Hanane Ariouat; Youcef Sklab; Marc Pignal; Florian Jabbour; Régine Vignes-Lebbe; Edi Prifti; Jean-Daniel Zucker; Eric Chenin (PAKDD (2), 2024)

ECGtizer: a fully automated digitizing and signal recovery pipeline for electrocardiograms. - Alex Lence; Ahmad Fall; Samuel David Cohen; Federica Granese; Jean-Daniel Zucker; Joe-Elie Salem; Edi Prifti (CoRR, 2024)

ECGrecover: A Deep Learning Approach for Electrocardiogram Signal Completion. - Alex Lence; Federica Granese; Ahmad Fall; Blaise Hanczar; Joe-Elie Salem; Jean-Daniel Zucker; Edi Prifti (KDD (1), 2025)

SIM-Net: A Multimodal Fusion Network Using Inferred 3D Object Shape Point Clouds From RGB Images for 2D Classification. - Youcef Sklab; Hanane Ariouat; Eric Chenin; Edi Prifti; Jean-Daniel Zucker (IET Comput. Vis., 2025)

IKrNet: A Neural Network for Detecting Specific Drug-Induced Patterns in Electrocardiograms Amidst Physiological Variability. - Ahmad Fall; Federica Granese; Alex Lence; Dominique Fourer; Blaise Hanczar; Joe-Elie Salem; Jean-Daniel Zucker; Edi Prifti (CoRR, 2025)

PlantSAM: An Object Detection-Driven Segmentation Pipeline for Herbarium Specimens. - Youcef Sklab; Florian Castanet; Hanane Ariouat; Souhila Arib; Jean-Daniel Zucker; Eric Chenin; Edi Prifti (CoRR, 2025)