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Journal Articles
- 2024
[j5]Benjamin P. Danek
, Mary B. Makarious, Anant Dadu, Dan Vitale, Paul Suhwan Lee, Andrew B. Singleton, Mike A. Nalls, Jimeng Sun, Faraz Faghri:
Federated learning for multi-omics: A performance evaluation in Parkinson's disease. Patterns 5(3): 100945 (2024)- 2023
- [j4]Anant Dadu, Vipul Satone, Rachneet Kaur, Mathew J. Koretsky, Hirotaka Iwaki, Yue A. Qi, Daniel M. Ramos, Brian B. Avants, Jacob Hesterman, Roger Gunn, Mark R. Cookson, Michael E. Ward, Andrew B. Singleton, Roy H. Campbell, Mike A. Nalls, Faraz Faghri:
Application of Aligned-UMAP to longitudinal biomedical studies. Patterns 4(6): 100741 (2023) - 2022
- [j3]Alejandro Cisterna, Aurora González-Vidal, Daniel Ruiz, Jordi Ortiz, Alicia Gómez-Pascual, Zhongbo Chen, Mike A. Nalls, Faraz Faghri, John Hardy, Irene Díez, Paolo Maietta, Sara Álvarez, Mina Ryten, Juan A. Botía:
PhenoExam: gene set analyses through integration of different phenotype databases. BMC Bioinform. 23(1): 567 (2022) - 2021
- [j2]Juan A. Sánchez, Ana L. Gil-Martinez, Alejandro Cisterna, Sonia García-Ruíz, Alicia Gómez-Pascual, Regina H. Reynolds, Mike A. Nalls, John Hardy, Mina Ryten, Juan A. Botía:
Modeling multifunctionality of genes with secondary gene co-expression networks in human brain provides novel disease insights. Bioinform. 37(18): 2905-2911 (2021) - [j1]Faraz Faghri, Mike A. Nalls:
Uncovering the complexities of biological structures with network-based learning: An application in SARS-CoV-2. Patterns 2(5): 100259 (2021)
Conference and Workshop Papers
- 2024
- [c2]Zhenbang Wu, Anant Dadu, Nicholas J. Tustison, Brian B. Avants, Mike A. Nalls, Jimeng Sun, Faraz Faghri:
Multimodal Patient Representation Learning with Missing Modalities and Labels. ICLR 2024 - 2007
- [c1]A. Monzon, Paul F. Hemler, Mike A. Nalls, Todd M. Manini, Brian C. Clark, T. B. Harris, Matthew J. McAuliffe:
Segmentation of magnetic resonance images of the thighs for a new National Institutes of Health initiative. Image Processing 2007: 65123L
Informal and Other Publications
- 2021
- [i3]Mary B. Makarious, Hampton L. Leonard, Dan Vitale, Hirotaka Iwaki, David Saffo, Lana Sargent, Anant Dadu, Eduardo Salmerón Castaño, John F. Carter, Melina Maleknia, Juan A. Botía, Cornelis Blauwendraat, Roy H. Campbell, Sayed Hadi Hashemi, Andrew B. Singleton, Mike A. Nalls, Faraz Faghri:
GenoML: Automated Machine Learning for Genomics. CoRR abs/2103.03221 (2021) - 2018
- [i2]Vipul Satone, Rachneet Kaur, Faraz Faghri, Mike A. Nalls, Andrew B. Singleton, Roy H. Campbell:
Learning the progression and clinical subtypes of Alzheimer's disease from longitudinal clinical data. CoRR abs/1812.00546 (2018) - 2017
- [i1]Faraz Faghri, Sayed Hadi Hashemi, Mohammad Babaeizadeh, Mike A. Nalls, Saurabh Sinha, Roy H. Campbell:
Toward Scalable Machine Learning and Data Mining: the Bioinformatics Case. CoRR abs/1710.00112 (2017)
Coauthor Index
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