Population Genomics

Type Start End
Internal Jan 2021 Jul 2022
Responsible URL
Xavier Giro-i-Nieto

Description

Figure by Matt Howard - Argonne's Midwest Center for Structural Genomics deposits 1,000th protein structure, CC BY-SA 2.0, https://commons.wikimedia.org/w/index.php?curid=9752165

 

Joint collaboration with Dr. Alexander Ioannidis and Dr. Daniel Mas-Montserrat from Stanford University.

 

 

Publications

Bonet D, Mas-Montserrat D, Giró-i-Nieto X, Ioannidis AG. HyperFast: Instant Classification for Tabular Data. In: 38th Annual AAAI Conference on Artificial Intelligence (AAAI). 38th Annual AAAI Conference on Artificial Intelligence (AAAI). ; 2024. (3.15 MB)
Barrabés M, Mas-Montserrat D, Geleta M, Giró-i-Nieto X, Ioannidis AG. Adversarial Learning for Feature Shift Detection and Correction. In: Neural Information Processing Systems (NeurIPS). Neural Information Processing Systems (NeurIPS). New Orleans, USA; 2023.
Dominguez A, Mas-Montserrat D, Bustamante C, Giró-i-Nieto X, Ioannidis AG. Neural ADMIXTURE: rapid population clustering with autoencoders. Nature Computational Science. 2023 .
Geleta M, Mas-Montserrat D, Giró-i-Nieto X, Ioannidis AG. Deep Variational Autoencoders for Population Genetics. 2023 .
Bernal O, Mas-Montserrat D, Giró-i-Nieto X, Ioannidis AG. SALAI-Net: species-agnostic local ancestry inference network. Bioinformatics. 2022 ;38.
Bartusiak E, Barrabés M, Rymbe A, Gimbernat J, López C, Barberis L, Mas-Montserrat D, Giró-i-Nieto X, Ioannidis AG. Predicting Dog Phenotypes from Genotypes. In: 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22). 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22). ; 2022. (1.17 MB)
Mas-Montserrat D, Perera M, Barrabés M, Geleta M, Giró-i-Nieto X, Ioannidis AG. Generative Moment Matching Networks for Genotype Simulation. In: 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22). 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22). ; 2022. (2.95 MB)
Barrabés M. Machine Learning for Genomic Sequence Processing. (Mas-Montserrat D, Giró-i-Nieto X, Ioannidis AG).; 2022.
Perera M. Ancestry-conditioned Generative Models for Genotyping. (Mas-Montserrat D, Giró-i-Nieto X, Ioannidis AG).; 2022.
Geleta M, Mas-Montserrat D, Bustamante C, Giró-i-Nieto X, Ioannidis AG. Deep variational autoencoders for population genetics: applications in classification, imputation, dimensionality reduction, and novel lossless data compression. In: American Society of Human Genetics (ASHG). American Society of Human Genetics (ASHG). Virtual: ASHG; 2021.

Pages

Collaborators

Xavier Giró Associate Professor xavier.giro@upc.edu