Mike A. Nalls

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 9

Top Topics

Gene Expression Levels

Machine Learning And Data Mining

Top Venues

Publications

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) (2024)
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)
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) (2023)
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) (2022)
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) (2021)
Faraz Faghri, Mike A. Nalls
Uncovering the complexities of biological structures with network-based learning: An application in SARS-CoV-2. Patterns 2 (5) (2021)
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 (2021)
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 (2018)
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 (2017)