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Dimitrios Vitsios

Showing results (1-10 of 26) with videos related to

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American Journal of Human Genetics|May 11, 2020
Mantis-ml: Disease-Agnostic Gene Prioritization from High-Throughput Genomic Screens by Stochastic Semi-supervised LearningDimitrios Vitsios, Slavé Petrovski
Nature Communications|March 9, 2021
Prioritizing non-coding regions based on human genomic constraint and sequence context with deep learningDimitrios Vitsios, Ryan S Dhindsa, Lawrence Middleton, et al.
Nucleic Acids Research|April 27, 2022
Gene-SCOUT: identifying genes with similar continuous trait fingerprints from phenome-wide association analysesLawrence Middleton, Andrew R Harper, Abhishek Nag, et al.
Nature Structural & Molecular Biology|May 23, 2017
A MILI-independent piRNA biogenesis pathway empowers partial germline reprogrammingLina Vasiliauskaitė, Dimitrios Vitsios, Rebecca V Berrens, et al.
American Journal of Human Genetics|February 27, 2025
Genome-wide prediction of dominant and recessive neurodevelopmental disorder-associated genesRyan S Dhindsa, Blake A Weido, Justin S Dhindsa, et al.
Communications Biology|July 11, 2023
Author Correction: DrugnomeAI is an ensemble machine-learning framework for predicting druggability of candidate drug targetsArwa Raies, Ewa Tulodziecka, James Stainer, et al.
Communications Biology|November 26, 2022
DrugnomeAI is an ensemble machine-learning framework for predicting druggability of candidate drug targetsArwa Raies, Ewa Tulodziecka, James Stainer, et al.
Science Advances|August 26, 2022
Cancer-driving mutations are enriched in genic regions intolerant to germline variationDimitrios Vitsios, Ryan S Dhindsa, Dorota Matelska, et al.
American Journal of Human Genetics|December 2, 2022
A minimal role for synonymous variation in human diseaseRyan S Dhindsa, Quanli Wang, Dimitrios Vitsios, et al.
Science Advances|May 8, 2024
Phenome-wide identification of therapeutic genetic targets, leveraging knowledge graphs, graph neural networks, and UK Biobank dataLawrence Middleton, Ioannis Melas, Chirag Vasavda, et al.
Pageof 3

Showing results (1-10 of 26) with videos related to

Sort By:
Pageof 3
American Journal of Human Genetics|May 11, 2020
Mantis-ml: Disease-Agnostic Gene Prioritization from High-Throughput Genomic Screens by Stochastic Semi-supervised LearningDimitrios Vitsios, Slavé Petrovski
Nature Communications|March 9, 2021
Prioritizing non-coding regions based on human genomic constraint and sequence context with deep learningDimitrios Vitsios, Ryan S Dhindsa, Lawrence Middleton, et al.
Nucleic Acids Research|April 27, 2022
Gene-SCOUT: identifying genes with similar continuous trait fingerprints from phenome-wide association analysesLawrence Middleton, Andrew R Harper, Abhishek Nag, et al.
Nature Structural & Molecular Biology|May 23, 2017
A MILI-independent piRNA biogenesis pathway empowers partial germline reprogrammingLina Vasiliauskaitė, Dimitrios Vitsios, Rebecca V Berrens, et al.
American Journal of Human Genetics|February 27, 2025
Genome-wide prediction of dominant and recessive neurodevelopmental disorder-associated genesRyan S Dhindsa, Blake A Weido, Justin S Dhindsa, et al.
Communications Biology|July 11, 2023
Author Correction: DrugnomeAI is an ensemble machine-learning framework for predicting druggability of candidate drug targetsArwa Raies, Ewa Tulodziecka, James Stainer, et al.
Communications Biology|November 26, 2022
DrugnomeAI is an ensemble machine-learning framework for predicting druggability of candidate drug targetsArwa Raies, Ewa Tulodziecka, James Stainer, et al.
Science Advances|August 26, 2022
Cancer-driving mutations are enriched in genic regions intolerant to germline variationDimitrios Vitsios, Ryan S Dhindsa, Dorota Matelska, et al.
American Journal of Human Genetics|December 2, 2022
A minimal role for synonymous variation in human diseaseRyan S Dhindsa, Quanli Wang, Dimitrios Vitsios, et al.
Science Advances|May 8, 2024
Phenome-wide identification of therapeutic genetic targets, leveraging knowledge graphs, graph neural networks, and UK Biobank dataLawrence Middleton, Ioannis Melas, Chirag Vasavda, et al.
Pageof 3