Changing trends in computational drug repositioning JK Yella, S Yaddanapudi, Y Wang, AG Jegga Pharmaceuticals 11 (2), 57, 2018 | 173 | 2018 |
Unsupervised gene expression analyses identify IPF-severity correlated signatures, associated genes and biomarkers Y Wang, J Yella, J Chen, FX McCormack, SK Madala, AG Jegga BMC pulmonary medicine 17, 1-10, 2017 | 35 | 2017 |
Transcriptomic data mining and repurposing for computational drug discovery Y Wang, J Yella, AG Jegga Computational Methods for Drug Repurposing, 73-95, 2019 | 28 | 2019 |
Grassnet: Graph soft sensing neural networks Y Huang, C Zhang, J Yella, S Petrov, X Qian, Y Tang, X Zhu, S Bom 2021 IEEE International Conference on Big Data (Big Data), 746-756, 2021 | 20 | 2021 |
Soft sensing transformer: hundreds of sensors are worth a single word C Zhang, J Yella, Y Huang, X Qian, S Petrov, A Rzhetsky, S Bom 2021 IEEE International Conference on Big Data (Big Data), 1999-2008, 2021 | 15 | 2021 |
Soft-sensing conformer: A curriculum learning-based convolutional transformer J Yella, C Zhang, S Petrov, Y Huang, X Qian, AA Minai, S Bom 2021 IEEE International Conference on Big Data (Big Data), 1990-1998, 2021 | 13 | 2021 |
MGATRx: discovering drug repositioning candidates using multi-view graph attention JK Yella, AG Jegga IEEE/ACM transactions on computational biology and bioinformatics 19 (5 …, 2021 | 12 | 2021 |
Soft sensing model visualization: Fine-tuning neural network from what model learned X Qian, C Zhang, J Yella, Y Huang, MC Huang, S Bom 2021 IEEE International Conference on Big Data (Big Data), 1900-1908, 2021 | 11 | 2021 |
Pan-transcriptome-based candidate therapeutic discovery for idiopathic pulmonary fibrosis Y Wang, JK Yella, S Ghandikota, TC Cherukuri, HH Ediga, SK Madala, ... Therapeutic Advances in Respiratory Disease 14, 1753466620971143, 2020 | 8 | 2020 |
GraMDTA: Multimodal graph neural networks for predicting drug-target associations JK Yella, SK Ghandikota, AG Jegga 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 3 | 2022 |
IEEE BigData 2021 Cup: Soft sensing at scale S Petrov, C Zhang, J Yella, Y Huang, X Qian, S Bom 2021 IEEE International Conference on Big Data (Big Data), 5780-5785, 2021 | 3 | 2021 |
Learning from failures in large scale soft sensing C Zhang, J Yella, Y Huang, S Bom 2021 IEEE International Conference on Big Data (Big Data), 6067-6070, 2021 | 2 | 2021 |
Magic bullets: Drug repositioning and drug combinations J Yella, A Jegga Reference Module in Biomedical Sciences, 2021 | 2 | 2021 |
Multimodal feature learning framework for disease biomarker discovery S Ghandikota, JK Yella, AG Jegga 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 1 | 2022 |
Modeling Complex Networks via Graph Neural Networks JK Yella University of Cincinnati, 2023 | | 2023 |
Triangle-Based Tripartite Graph Clustering Y Cheng, JK Yella, AG Jegga 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | | 2020 |
Integrative Omics to Discover Drug Repurposing Candidates for Idiopathic Pulmonary Fibrosis Y Wang, S Yaddanapudi1, J Yella, V Sontake, SK Madala, A Jegga A42. ILD SCIENTIFIC ABSTRACTS: TREATMENT AND ACUTE EXACERBATION, A1637-A1637, 2018 | | 2018 |
Prioritizing Idiopathic Pulmonary Fibrosis Candidate Genes Based on" Guilt by Association" Analysis Y Wang, J Yella, SK Madala, A Jegga A68. MOLECULAR DETERMINANTS OF REMODELING IN LUNG FIBROSIS, A2228-A2228, 2018 | | 2018 |
Machine Learning-based Prediction and Characterization of Drug-drug Interactions JK Yella University of Cincinnati, 2018 | | 2018 |