| A machine learning approach for identifying gene biomarkers guiding the treatment of breast cancer AA Tabl, A Alkhateeb, W ElMaraghy, L Rueda, A Ngom Frontiers in genetics 10, 256, 2019 | 121 | 2019 |
| Classification of breast cancer nottingham prognostic index using high-dimensional embedding and residual neural network L Zhou, M Rueda, A Alkhateeb Cancers 14 (4), 934, 2022 | 81 | 2022 |
| Transcriptomics signature from next-generation sequencing data reveals new transcriptomic biomarkers related to prostate cancer A Alkhateeb, I Rezaeian, S Singireddy, D Cavallo-Medved, LA Porter, ... Cancer informatics 18, 1176935119835522, 2019 | 76 | 2019 |
| The circadian clock gene, Bmal1, regulates intestinal stem cell signaling and represses tumor initiation K Stokes, M Nunes, C Trombley, DEFL Flôres, G Wu, Z Taleb, ... Cellular and molecular gastroenterology and hepatology 12 (5), 1847-1872. e0, 2021 | 66 | 2021 |
| Explainable artificial intelligence model for identifying COVID-19 gene biomarkers FH Yagin, İB Cicek, A Alkhateeb, B Yagin, C Colak, M Azzeh, S Akbulut Computers in Biology and Medicine 154, 106619, 2023 | 65 | 2023 |
| Prediction of tumor location in prostate cancer tissue using a machine learning system on gene expression data O Hamzeh, A Alkhateeb, J Zheng, S Kandalam, L Rueda BMC bioinformatics 21, 1-10, 2020 | 47 | 2020 |
| A novel approach to identify subtype-specific network biomarkers of breast cancer survivability S Jubair, A Alkhateeb, AA Tabl, L Rueda, A Ngom Network Modeling Analysis in Health Informatics and Bioinformatics 9, 1-12, 2020 | 36 | 2020 |
| Multi-omics data integration model based on UMAP embedding and convolutional neural network B ElKarami, A Alkhateeb, H Qattous, L Alshomali, B Shahrrava Cancer Informatics 21, 11769351221124205, 2022 | 35 | 2022 |
| A hierarchical machine learning model to discover gleason grade-specific biomarkers in prostate cancer O Hamzeh, A Alkhateeb, JZ Zheng, S Kandalam, C Leung, G Atikukke, ... Diagnostics 9 (4), 219, 2019 | 32 | 2019 |
| A novel approach for identifying relevant genes for breast cancer survivability on specific therapies AA Tabl, A Alkhateeb, HQ Pham, L Rueda, W ElMaraghy, A Ngom Evolutionary Bioinformatics 14, 1176934318790266, 2018 | 23 | 2018 |
| Identifying differentially expressed transcripts associated with prostate cancer progression using RNA-Seq and machine learning techniques S Singireddy, A Alkhateeb, I Rezaeian, L Rueda, D Cavallo-Medved, ... 2015 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2015 | 23 | 2015 |
| A fecal-microbial-extracellular-vesicles-based metabolomics machine learning framework and biomarker discovery for predicting colorectal cancer patients FH Yagin, A Alkhateeb, C Colak, M Azzeh, B Yagin, L Rueda Metabolites 13 (5), 589, 2023 | 19 | 2023 |
| Cost-sensitive classification on class-balanced ensembles for imbalanced non-coding RNA data B Elkarami, A Alkhateeb, L Rueda 2016 IEEE EMBS International Student Conference (ISC), 1-4, 2016 | 18 | 2016 |
| Explainable artificial intelligence paves the way in precision diagnostics and biomarker discovery for the subclass of diabetic retinopathy in type 2 diabetics FH Yagin, S Yasar, Y Gormez, B Yagin, A Pinar, A Alkhateeb, LP Ardigò Metabolites 13 (12), 1204, 2023 | 17 | 2023 |
| An explainable artificial intelligence model proposed for the prediction of myalgic encephalomyelitis/chronic fatigue syndrome and the identification of distinctive metabolites FH Yagin, A Alkhateeb, A Raza, NA Samee, NF Mahmoud, C Colak, ... Diagnostics 13 (23), 3495, 2023 | 17 | 2023 |
| Zseq: an approach for preprocessing next-generation sequencing data A Alkhateeb, L Rueda Journal of Computational Biology 24 (8), 746-755, 2017 | 16 | 2017 |
| PaCMAP-embedded convolutional neural network for multi-omics data integration H Qattous, M Azzeh, R Ibrahim, IA Al-Ghafer, M Al Sorkhy, A Alkhateeb Heliyon 10 (1), 2024 | 13 | 2024 |
| Deep learning approach for breast cancer InClust 5 prediction based on multiomics data integration A Alkhateeb, L Zhou, AA Tabl, L Rueda Proceedings of the 11th ACM international conference on bioinformatics …, 2020 | 13 | 2020 |
| Identification of discriminative genes for predicting breast cancer subtypes R Etemadi, A Alkhateeb, I Rezaeian, L Rueda 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016 | 13 | 2016 |
| A new clustering method using wavelet based probability density functions for identifying patterns in time-series data M Kordestani, A Alkhateeb, I Rezaeian, L Rueda, M Saif 2016 IEEE EMBS International Student Conference (ISC), 1-4, 2016 | 11 | 2016 |
