| Deep learning tackles single-cell analysis—a survey of deep learning for scRNA-seq analysis M Flores, Z Liu, T Zhang, MM Hasib, YC Chiu, Z Ye, K Paniagua, S Jo, ... Briefings in bioinformatics 23 (1), bbab531, 2022 | 33 | 2022 |
| Molecular and immune signatures, and pathological trajectories of fatal COVID‐19 lungs defined by in situ spatial single‐cell transcriptome analysis A Das, W Meng, Z Liu, MM Hasib, H Galloway, S Ramos da Silva, L Chen, ... Journal of Medical Virology 95 (8), e29009, 2023 | 6 | 2023 |
| Characterizing Macrophages Diversity in COVID-19 Patients Using Deep Learning MA Flores, K Paniagua, W Huang, R Ramirez, L Falcon, A Liu, Y Chen, ... Genes 13 (12), 2264, 2022 | 1 | 2022 |
| Insights into Disease Progression with spatial transcriptomics Y Jin, K Paniagua, M Flores Physiology 39 (S1), 2530, 2024 | | 2024 |
| Identification of Molecular Markers of Diabetic Foot Ulcer Severity M Flores, M Flores, K Paniagua Physiology 38 (S1), 5731350, 2023 | | 2023 |
| 307 Machine learning identification of diabetic foot ulcer severity to reduce amputation risk M Flores, K Paniagua, YJ Rivera Journal of Clinical and Translational Science 7 (s1), 92-92, 2023 | | 2023 |
| Characterizing Macrophages Diversity in COVID-19 Patients Using Deep Learning. Genes 2022, 13, 2264 MA Flores, K Paniagua, W Huang, R Ramirez, L Falcon, A Liu, Y Chen, ... s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022 | | 2022 |
| Modelado e impresion 3D de una vertebra cervical (C7) KDP Rivera | | 2019 |
| Predicting COVID-19 Infection Severity Using CNN on Single Cell RNA-seq Data L Falcon, W Huang, K Paniagua, R Ramirez, M Flores, YF Jin | | |
