| Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine Z Ahmed, K Mohamed, S Zeeshan, XQ Dong Database 2020, baaa010, 2020 | 879 | 2020 |
| Human gene and disease associations for clinical‐genomics and precision medicine research Z Ahmed, S Zeeshan, D Mendhe, XQ Dong Clinical and translational medicine 10 (1), 297-318, 2020 | 185 | 2020 |
| Discovering biomarkers associated and predicting cardiovascular disease with high accuracy using a novel nexus of machine learning techniques for precision medicine W DeGroat, H Abdelhalim, K Patel, D Mendhe, S Zeeshan, Z Ahmed Scientific reports 14 (1), 1, 2024 | 126 | 2024 |
| IntelliGenes: a novel machine learning pipeline for biomarker discovery and predictive analysis using multi-genomic profiles W DeGroat, D Mendhe, A Bhusari, H Abdelhalim, S Zeeshan, Z Ahmed Bioinformatics 39 (12), btad755, 2023 | 95 | 2023 |
| Artificial intelligence and machine learning approaches using gene expression and variant data for personalized medicine S Vadapalli, H Abdelhalim, S Zeeshan, Z Ahmed Briefings in bioinformatics 23 (5), bbac191, 2022 | 79 | 2022 |
| Software applications toward quantitative metabolic flux analysis and modeling T Dandekar, A Fieselmann, S Majeed, Z Ahmed Briefings in bioinformatics 15 (1), 91-107, 2014 | 64 | 2014 |
| Developing sustainable software solutions for bioinformatics by the “Butterfly” paradigm Z Ahmed, S Zeeshan, T Dandekar F1000Research 3, 2014 | 48 | 2014 |
| 100 years of evolving gene–disease complexities and scientific debutants S Zeeshan, R Xiong, BT Liang, Z Ahmed Briefings in bioinformatics 21 (3), 885-905, 2020 | 46 | 2020 |
| Lipid-Pro: a computational lipid identification solution for untargeted lipidomics on data-independent acquisition tandem mass spectrometry platforms Z Ahmed, M Mayr, S Zeeshan, T Dandekar, MJ Mueller, A Fekete Bioinformatics 31 (7), 1150-1153, 2015 | 43 | 2015 |
| Human gene and disease associations for clinical-genomics and precision medicine research. Clin Transl Med. 2020; 10: 297–318 Z Ahmed, S Zeeshan, D Mendhe, X Dong | 41 | |
| Software LS-MIDA for efficient mass isotopomer distribution analysis in metabolic modelling Z Ahmed, S Zeeshan, C Huber, M Hensel, D Schomburg, R Münch, ... BMC bioinformatics 14, 1-11, 2013 | 35 | 2013 |
| Investigating genes associated with heart failure, atrial fibrillation, and other cardiovascular diseases, and predicting disease using machine learning techniques for … V Venkat, H Abdelhalim, W DeGroat, S Zeeshan, Z Ahmed Genomics 115 (2), 110584, 2023 | 34 | 2023 |
| ‘Isotopo’a database application for facile analysis and management of mass isotopomer data Z Ahmed, S Zeeshan, C Huber, M Hensel, D Schomburg, R Münch, ... Database 2014, bau077, 2014 | 32 | 2014 |
| Cultivating software solutions development in the scientific academia Z Ahmed, S Zeeshan Recent Patents on Computer Science 7 (1), 54-66, 2014 | 29 | 2014 |
| Mining biomedical images towards valuable information retrieval in biomedical and life sciences Z Ahmed, S Zeeshan, T Dandekar Database 2016, baw118, 2016 | 27 | 2016 |
| Genomic approaches to identify and investigate genes associated with atrial fibrillation and heart failure susceptibility KK Patel, C Venkatesan, H Abdelhalim, S Zeeshan, Y Arima, ... Human genomics 17 (1), 47, 2023 | 21 | 2023 |
| Advancing clinical genomics and precision medicine with GVViZ: FAIR bioinformatics platform for variable gene-disease annotation, visualization, and expression analysis Z Ahmed, EG Renart, S Zeeshan, XQ Dong Human genomics 15 (1), 37, 2021 | 21 | 2021 |
| Debutant iOS app and gene-disease complexities in clinical genomics and precision medicine Z Ahmed, S Zeeshan, R Xiong, BT Liang Clinical and translational medicine 8, 1-11, 2019 | 21 | 2019 |
| RNA-seq driven expression and enrichment analysis to investigate CVD genes with associated phenotypes among high-risk heart failure patients Z Ahmed, S Zeeshan, BT Liang Human genomics 15, 1-18, 2021 | 19 | 2021 |
| Integrative clinical, genomics and metabolomics data analysis for mainstream precision medicine to investigate COVID-19 Z Ahmed, S Zeeshan, DJ Foran, LC Kleinman, FE Wondisford, XQ Dong BMJ Innov 7 (1), 6-10, 2021 | 19 | 2021 |
