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Methods (San Diego, Calif.)|February 14, 2018
Bi-clustering of metabolic data using matrix factorization toolsQuan Gu, Kirill VeselkovBioinformatics (Oxford, England)|March 15, 2018
Exploiting and assessing multi-source data for supervised biomedical named entity recognitionDieter Galea, Ivan Laponogov, Kirill VeselkovWorld Journal of Clinical Oncology|June 30, 2021
Phytochemically rich dietary components and the risk of colorectal cancer: A systematic review and meta-analysis of observational studiesPia Borgas, Guadalupe Gonzalez, Kirill Veselkov, et al.Human Genomics|June 8, 2021
Predicting anticancer hyperfoods with graph convolutional networksGuadalupe Gonzalez, Shunwang Gong, Ivan Laponogov, et al.Ebiomedicine|April 5, 2017
Metabolic Profiling in Patients with Pneumonia on Intensive CareDavid Antcliffe, Beatriz Jiménez, Kirill Veselkov, et al.Bioengineering (Basel, Switzerland)|January 8, 2025
Early Detection of Macular Atrophy Automated Through 2D and 3D Unet Deep LearningWei Wei, Radhika Pooja Patel, Ivan Laponogov, et al.Nature Biomedical Engineering|September 9, 2025
Combinatorial prediction of therapeutic perturbations using causally inspired neural networksGuadalupe Gonzalez, Xiang Lin, Isuru Herath, et al.Biorxiv : the Preprint Server for Biology|January 23, 2024
Combinatorial prediction of therapeutic perturbations using causally-inspired neural networksGuadalupe Gonzalez, Xiang Lin, Isuru Herath, et al.Scientific Reports|May 22, 2023
Deep learning to detect macular atrophy in wet age-related macular degeneration using optical coherence tomographyWei Wei, Joshua Southern, Kexuan Zhu, et al.Metabolomics : Official Journal of the Metabolomic Society|November 25, 2021
Metabonomics study of the effects of single copy mutant KRAS in the presence or absence of WT allele using human HCT116 isogenic cell linesDorna Varshavi, Dorsa Varshavi, Nicola McCarthy, et al.Pageof 6