| Multi-omics profiling approach to asthma: an evolving paradigm Y Gautam, E Johansson, TB Mersha Journal of personalized medicine 12 (1), 66, 2022 | 48 | 2022 |
| Genome-wide analysis revealed sex-specific gene expression in asthmatics Y Gautam, Y Afanador, T Abebe, JE López, TB Mersha Human molecular genetics 28 (15), 2600-2614, 2019 | 40 | 2019 |
| Argumentative comparative analysis of machine learning on coronary artery disease KR Dahal, Y Gautam Open Journal of Statistics 10 (4), 694-705, 2020 | 27 | 2020 |
| DiffGRN: differential gene regulatory network analysis Y Kim, J Hao, Y Gautam, TB Mersha, M Kang International journal of data mining and bioinformatics 20 (4), 362-379, 2018 | 26 | 2018 |
| Comprehensive functional annotation of susceptibility variants associated with asthma Y Gautam, Y Afanador, S Ghandikota, TB Mersha Human genetics 139, 1037-1053, 2020 | 24 | 2020 |
| Multi-omics profiling approach in food allergy A Devonshire, Y Gautam, E Johansson, TB Mersha World Allergy Organization Journal 16 (5), 100777, 2023 | 12 | 2023 |
| Genome-wide admixture and association analysis identifies African ancestry–specific risk loci of eosinophilic esophagitis in African Americans Y Gautam, J Caldwell, L Kottyan, M Chehade, ES Dellon, ME Rothenberg, ... Journal of Allergy and Clinical Immunology 151 (5), 1337-1350, 2023 | 12 | 2023 |
| AdmixPower: Statistical Power and Sample Size Estimation for Mapping Genetic Loci in Admixed Populations Y Gautam, M Altaye, C Xie, TB Mersha Genetics 207 (3), 873-882, 2017 | 10 | 2017 |
| PAMAM: Power analysis in multiancestry admixture mapping Y Gautam, S Ghandikota, S Chen, TB Mersha Genetic epidemiology 43 (7), 831-843, 2019 | 9 | 2019 |
| Development and validation of asthma risk prediction models using co-expression gene modules and machine learning methods EY Dessie, Y Gautam, L Ding, M Altaye, J Beyene, TB Mersha Scientific Reports 13 (1), 11279, 2023 | 6 | 2023 |
| Unraveling racial disparities in asthma emergency department visits using electronic healthcare records and machine learning AA Adejare, Y Gautam, J Madzia, TB Mersha Journal of Asthma 59 (1), 79-93, 2022 | 6 | 2022 |
| MI-MAAP: marker informativeness for multi-ancestry admixed populations S Chen, S Ghandikota, Y Gautam, TB Mersha BMC bioinformatics 21, 1-14, 2020 | 5 | 2020 |
| Racial differences in length of stay and readmission for asthma in the all of us research program E Correa-Agudelo, Y Gautam, A Mendy, TB Mersha Journal of Translational Medicine 22 (1), 22, 2024 | 3 | 2024 |
| AllergyGenDB: A literature and functional annotation-based omics database for allergic diseases S Chen, S Ghandikota, Y Gautam, TB Mersha Allergy 75 (7), 1789, 2020 | 3 | 2020 |
| LEI: a novel allele frequency-based feature selection method for multi-ancestry admixed populations MJ Wathen, Y Gautam, S Ghandikota, MB Rao, TB Mersha Scientific reports 9 (1), 11103, 2019 | 3 | 2019 |
| Joint genotype and ancestry analysis identify novel loci associated with atopic dermatitis in African American population Y Gautam, L Satish, S Ramirez, B Grashel, JM Biagini, LJ Martin, ... Human Genetics and Genomics Advances 5 (4), 2024 | 1 | 2024 |
| Comprehensive analysis of epigenome and transcriptome-based correlation network analysis in severe asthma risk prediction E Dessie, T Mersha, Y Gautam Journal of Allergy and Clinical Immunology 151 (2), AB125, 2023 | 1 | 2023 |
| Fairness in precision medicine: Evaluating algorithmic bias in length of stay and readmission for asthma in the All of Us Research Program T Mersha, E Correa-Agudelo, Y Gautam Journal of Allergy and Clinical Immunology 155 (2), AB299, 2025 | | 2025 |
| Race Differences and Comorbidities in Length of Stay and Readmission for Asthma in the All of Us Research Program T Mersha, E Correa-Agudelo, Y Gautam, A Mendy Journal of Allergy and Clinical Immunology 153 (2), AB251, 2024 | | 2024 |
| Leveraging genetic ancestry to study severe asthma exacerbations in an admixed population Y Gautam, TB Mersha Thorax 78 (3), 220-221, 2023 | | 2023 |
