| MeT-DB: a database of transcriptome methylation in mammalian cells H Liu, MA Flores, J Meng, L Zhang, X Zhao, MK Rao, Y Chen, Y Huang Nucleic acids research 43 (D1), D197-D203, 2015 | 57 | 2015 |
| Gene regulation, modulation, and their applications in gene expression data analysis M Flores, TH Hsiao, YC Chiu, EY Chuang, Y Huang, Y Chen Advances in bioinformatics 2013, 2013 | 34 | 2013 |
| 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 | 30 | 2022 |
| ES-ARCNN: Predicting enhancer strength by using data augmentation and residual convolutional neural network TH Zhang, M Flores, Y Huang Analytical Biochemistry 618, 114120, 2021 | 17 | 2021 |
| Transformer for Gene Expression Modeling (T-GEM): An Interpretable Deep Learning Model for Gene Expression-Based Phenotype Predictions TH Zhang, MM Hasib, YC Chiu, ZF Han, YF Jin, M Flores, Y Chen, ... Cancers 14 (19), 4763, 2022 | 16 | 2022 |
| Enhancer reprogramming in mammalian genomes MA Flores, I Ovcharenko BMC bioinformatics 19, 1-10, 2018 | 13 | 2018 |
| BRCA-Monet: a breast cancer specific drug treatment mode-of-action network for treatment effective prediction using large scale microarray database C Ma, HIH Chen, M Flores, Y Huang, Y Chen BMC Systems Biology 7, 1-15, 2013 | 8 | 2013 |
| 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 |
| A new algorithm for predicting competing endogenous rnas M Flores, Y Huang Proceedings 2012 IEEE International Workshop on Genomic Signal Processing …, 2012 | 4 | 2012 |
| TraceRNA: a web application for competing endogenous RNA exploration M Flores, Y Chen, Y Huang Circulation: Cardiovascular Genetics 7 (4), 548-557, 2014 | 3 | 2014 |
| CrossLink: a novel method for cross-condition classification of cancer subtypes C Ma, KS Sastry, M Flore, S Gehani, I Al-Bozom, Y Feng, E Serpedin, ... BMC genomics 17, 195-206, 2016 | 2 | 2016 |
| 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 |
| NetceRNA: An algorithm for construction of phenotype-specific regulation networks via competing endogenous RNAs M Flores, Y Huang, Y Chen 2013 IEEE International Workshop on Genomic Signal Processing and Statistics …, 2013 | 1 | 2013 |
| 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 |
| New tools for spatial biology transcriptomics & proteomics in immuno-oncology M Flores Immuno-Oncology Insights 10 (2023), 2023 | | 2023 |
| Cellular and molecular heterogeneities and signatures, and pathological trajectories of fatal COVID-19 lungs defined by spatial single-cell transcriptome analysis A Das, W Meng, Z Liu, MM Hasib, H Galloway, S Ramos da Silva, L Chen, ... medRxiv, 2023.02. 24.23286388, 2023 | | 2023 |
| Bimodal sequence composition underlies functional duality of transcribed enhancers M Flores, I Ovcharenko | | 2020 |
| Computational prediction and perturbation analysis of ceRNA networks in cancer MA Flores The University of Texas at San Antonio, 2015 | | 2015 |
| Computational and Systems Biology M Flores, Y Chen, Y Huang | | 2014 |
Yufei HuangUniversity of Pittsburg Medical CenterVerified email at pitt.edu
