Barrabes, M., Mas Montserrat, D., Geleta, M., Giro-i-Nieto, X., Ioannidis, A. Adversarial Learning for Feature Shift Detection and Correction. Advances in Neural Information Processing Systems (NeurIPS), 2023.
Dominguez Mantes, A., Mas Montserrat, D., Bustamante, C., Giró-i-Nieto, X., Ioannidis, A. "Neural ADMIXTURE for rapid genomic clustering." Nature Computational Science, 2023. [link] [news & views]
[Nature Methods research highlight]
Oriol Sabat, B., Mas Montserrat D., Giró-i-Nieto, X., Ioannidis A. "SALAI-Net: Species-agnostic local ancestry inference network." Bioinformatics, 2022. [link]
Gimbernat-Mayol, J., Dominguez Mantes, A., Mas Montserrat, D., Bustamante, C., Ioannidis, A. "Archetypal Analysis for Population Genetics." PLOS Computational Biology, 2022. [link]
Ioannidis, A., Blanco-Portillo, J., Sandoval, K...Mentzer, A., Moreno-Estrada, A. "Paths and timings of the peopling of Polynesia inferred from genomic networks." Nature, 2021. [link] [news & views]
Kumar, A., Mas Montserrat, D., Bustamante, C., Ioannidis, A. "XGMix: Local-Ancestry Inference With Stacked XGBoost." Int'l Conference on Learning Representations (ICLR, 2020, AI4H) [link]. *Best Paper Award
Ioannidis, A., Blanco-Portillo, J., Sandoval, K...Bustamante, C., Moreno-Estrada, A. "Native American gene flow into Polynesia predating Easter Island settlement." Nature, 2020. [link] [news & views]
Comajoan, M., Mas, D., Ioannidis, A. PopGenAdapt: Semi-Supervised Domain Adaptation for Genotype-to-Phenotype Prediction in Underrepresented Populations. Pacific Symposium for Biocomputing (PSB), 2024.
Parikh, V.*, Ioannidis, A.*, et al. *co-first authors "Deconvoluting complex correlates of COVID19 severity with a multi-omic pandemic tracking strategy." Nature Communications, 2022. [link]
COVID-19 Host Genetics Initiative, "Mapping the human genetic architecture of COVID-19." Nature, 2021. [link]
Pineda, A., Pourshafeie, A., Ioannidis, A., Leibold, C., Chan, A., Bustamante, C., Frankovich, J., Wojcik, G., "Discovering prescription patterns in pediatric acute-onset neuropsychiatric syndrome patients." Journal of Biomedical Informatics, 2021. [link]
Mas Montserrat, D., Bustamante C., Ioannidis, A. "Active Learning for Efficient Construction of Diverse Biobanks." International Conference on Learning Representations (ICLR, 2020, Workshop ML-RL)
Herr, Q.P., Herr, A.Y., Oberg, O.T. and Ioannidis, A.G. "Ultra-low-power superconductor logic." Journal of Applied Physics, 2011, 109(10), p.103903. [link]
Olaya, D., Dresselhaus, P.D., Benz, S.P., Herr, A., Herr, Q.P., Ioannidis, A.G., Miller, D.L. and Kleinsasser, A.W. "Digital circuits using self-shunted Nb/Nb_x Si_(1−x)/Nb Josephson junctions." Applied Physics Letters, 2010, 96(21), p.213510. [link]
Oberg, O.T., Herr, Q.P., Ioannidis, A.G. and Herr, A.Y. "Integrated power divider for superconducting digital circuits." IEEE Transactions on Applied Superconductivity, 2010, 21(3), pp.571-574. [link]
Barrabes, M., Mas Montserrat, D., Geleta, M., Giro-i-Nieto, X., Ioannidis, A. Adversarial Learning for Feature Shift Detection and Correction. Advances in Neural Information Processing Systems (NeurIPS), 2023. (accepted)
Comajoan, M., Mas, D., Ioannidis, A. PopGenAdapt: Semi-Supervised Domain Adaptation for Genotype-to-Phenotype Prediction in Underrepresented Populations. Pacific Symposium for Biocomputing (PSB). (accepted)
Bonet, D., Levin, M., Mas, D., Ioannidis, A. Machine Learning Strategies for Improved Phenotype Prediction in
Underrepresented Populations. Pacific Symposium for Biocomputing (PSB). (accepted)
Dominguez Mantes, A., Mas Montserrat, D., Bustamante, C., Giró-i-Nieto, X., Ioannidis, A. Neural ADMIXTURE for rapid genomic clustering. Nature Computational Science, 2023.
Villa-Islas V., Izarraras-Gomez A., Larena M., Perez Campos E. M., Sandoval-Velasco M., Rodríguez-Rodríguez J. E., Bravo-Lopez M., Moguel B., Fregel R., Medina Tretmanis J., Velázquez-Ramírez D. A., Herrera-Muñóz A., Sandoval K., Nieves-Colón M. A., Zepeda G., Villanea F., Villanueva Medina E., Aguayo-Haro R., Valdiosera C., Ioannidis A., Moreno-Estrada A., Jay F., Huerta-Sanchez E., Sánchez-Quinto F., Ávila-Arcos M. C., Demographic history & genetic structure in pre-Hispanic Central Mexico. Science, 2023.
Oriol Sabat, B., Mas Montserrat D., Giró-i-Nieto, X., Ioannidis A. SALAI-Net: Species-agnostic local ancestry inference network. Bioinformatics, 2022.
Gimbernat-Mayol J., Mas Montserrat D., Bustamante C., Ioannidis A. Archetypal Analysis for Population Genetics. PLOS Computational Biology, 2022.
Parikh V.*, Ioannidis, A.*, et al., Bustamante, C., Rivas, M., Ashley, E. Deconvoluting complex correlates of COVID19 with a multi-omic pandemic tracking strategy. Nature Communications, 2022. (*co-first author)
Rodriguez-Rodriguez J.*, Ioannidis A.*, Medina-Muñoz, S., Barberena-Jonas, C., Blanco-Portillo, J., Quinto-Cortés, C.D. and Moreno-Estrada, A. The genetic legacy of the Manila galleon trade in Mexico. Philosophical Transactions of the Royal Society B, 377(1852): 20200419, 2022. (*co-first author)
Wojcik G., Murphy J., Edelson J., Gignoux C., Ioannidis A., Manning A., Rivas M., Buyske S., Hendricks A. Opportunities & challenges for the use of common controls in sequencing studies. Nature Reviews Genetics, 2022.
Lopez-Pineda A., Vernekar M., Moreno-Grau S., Rojas-Muñoz A., Moatamed B., Lee M.T.M., Nava-Aguilar M.A., Gonzalez-Arroyo G., Numakura K., Matsuda Y., Ioannidis A., Katsanis N., Takano T., Bustamante C. Validating and automating learning of cardiometabolic polygenic risk scores from direct-to-consumer genetic and phenotypic data: implications for scaling precision health research. Human genomics, 2022.
Liu, Y., Hunter-Anderson, R., Cheronet, O., Eakin, J., Camacho, F., Pietrusewsky, M., Rohland, N., Ioannidis, A., Athens, J., Douglas, M., Ikehara-Quebral, R., Bernardos, R., Culleton, B., Mah, M., Adamski, N., Broomandkhoshbacht, N., Callan, K., Lawson, A., Mandl, K., Michel, M., Oppenheimer, J., Stewardson, K., Zalzala, F., Kidd, K., Kidd, J., Schurr, T., Auckland, K., Hill, A., Mentzer, A., Quinto-Cortés, C., Robson, K., Kennett, D., Patterson, N., Bustamante, C., Moreno-Estrada, A., Spriggs, M., Vilar, M., Lipson, M., Pinhasi, R., Reich, D., Ancient DNA reveals five streams of migration into Micronesia and matrilocality in early Pacific seafarers. Science, 377(6601): 72-79, 2022.
Ioannidis A., Blanco-Portillo J., et al., Mentzer A., Moreno-Estrada A. Paths and timings of the peopling of Polynesia inferred from genomic networks. Nature, 597:522-526, 2021.
COVID-19 Host Genetics Initiative, "Mapping the human genetic architecture of COVID-19." Nature, 2021.
Venkataraman G., DeBoever C., Tanigawa Y., Aguirre M., Ioannidis A., Mostafavi H., Spencer C., Poterba T., Bustamante C., Daly M., Pirinen M., Rivas M. Bayesian model comparison for rare-variant association studies. American Journal of Human Genetics, 102(12):2354-2367, 2021.
Ioannidis A., Blanco-Portillo J., et al., Bustamante C., Moreno-Estrada, A. Native American gene flow into Polynesia predating Easter Island settlement. Nature, 583:572-577, 2020.
Lopez Pineda A., Pourshafeie A., Ioannidis A., Leibold C., Chan A., Bustamante C., Frankovich J., Wojcik G. Discovering prescription patterns in pediatric acute-onset neuropsychiatric syndrome patients. Journal of Biomedical Informatics, 113:103664, 2020.
Herr Q., Herr A., Oberg O., Ioannidis A. Ultra-low-power superconductor logic. Journal of Applied Physics, 109(10):103903, 2011.
Oberg O., Herr Q., Ioannidis A., Herr A. Integrated power divider for superconducting digital circuits. IEEE Transactions on Applied Superconductivity, 21(3):571-574, 2011.
Olaya D., Dresselhaus P., Benz S., Herr A., Herr Q., Ioannidis A., Miller D., Kleinsasser A. Digital circuits using self-shunted Nb/NbxSi1-x/Nb Josephson junctions. Applied Physics Letters, 96(10):213510, 2010.
Mas Montserrat D. and Ioannidis A. Adversarial Attacks on Genotype Sequences. IEEE Int. Con. on Acoustics, Speech & Signal Processing (ICASSP), 2023. doi: 10.1109/ICASSP49357.2023.10096857
Perera, M., Mas Montserrat, D., Barrabes, M., Geleta, M., Giro-i-Nieto, X., Ioannidis, A. Generative Moment Matching Networks for Genotype Simulation. IEEE Engineering in Medicine & Biology Society (EMBC), 2022. doi: 10.1109/EMBC48229.2022.9871045
Bartusiak, E., Barrabés, M., Rymbekova, A., Gimbernat-Mayol, J., López, C., Barberis, L., Mas Montserrat, D., Giró-i-Nieto, X., Ioannidis, A. Predicting Dog Phenotypes from Genotypes. IEEE Engineering in Medicine & Biology Society (EMBC), 2022. doi: 10.1109/EMBC48229.2022.9870905
Hilmarsson H., Kumar A., Rastogi R., Mas Montserrat D., Bustamante C., Ioannidis A. XGFix: Fast and Scalable Phasing Error Correction with Local Ancestry Inference. Conference on Neural Information Processing Systems (NeurIPS) LMRL, 2020.
Aguirre M., Sokol J., Venkataraman G., Ioannidis A. A deep learning classifier for local ancestry inference. Conference on Neural Information Processing Systems (NeurIPS) LMRL, 2020. arXiv:2011.02081
Kumar A., Mas Montserrat D., Bustamante C., Ioannidis A. XGMix: Local-Ancestry Inference with Stacked XGBoost. Int. Conference on Learning Representations (ICLR) AI4AH, 2020. doi:10.1101/2020.04.21.053876 (best paper award)
Mas Montserrat D., Bustamante C., Ioannidis A. LAI-Net: Local-Ancestry Inference with Neural Networks. IEEE Int. Con. on Acoustics, Speech & Signal Processing (ICASSP) (pp. 1314-1318), 2020.
Mas Montserrat D., Bustamante C., Ioannidis A. Class-Conditional VAE-GAN for Local-Ancestry Simulation. Machine Learning for Computational Biology at NeurIPS (MLCB/NeurIPS), 2019.
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