Mario Flores

6PUBLICATIONS
5CO-AUTHORS
Molecular targetsArtificial life and complex adaptive systemsMajor global burdens of diseasePredictive and prognostic markersDeep learning
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Publications (6)

|Feb 27, 2026
Let-7a and miR-34a Interplay Potent Suppressive Roles in Hepatocellular Carcinoma via Co-Targeting FNDC3B, IGF2 and SOX4.

Bangly Soliman, Ahmed Fawzy Ibrahim, Ahmed Salem

|Oct 17, 2024
Dental Composite Performance Prediction Using Artificial Intelligence.

Karla Paniagua Rivera, Kyumin Whang, Krishna Joshi

|Oct 16, 2024
Multimodal Identification of Molecular Factors Linked to Severe Diabetic Foot Ulcers Using Artificial Intelligence.

Anita Omo-Okhuasuyi, Yu-Fang Jin, Mahmoud ElHefnawi

|Dec 23, 2022
Characterizing Macrophages Diversity in COVID-19 Patients Using Deep Learning.

Mario A Flores, Karla Paniagua, Wenjian Huang

|Oct 14, 2022
Transformer for Gene Expression Modeling (T-GEM): An Interpretable Deep Learning Model for Gene Expression-Based Phenotype Predictions.

Ting-He Zhang, Md Musaddaqul Hasib, Yu-Chiao Chiu

|Dec 20, 2021
Deep learning tackles single-cell analysis-a survey of deep learning for scRNA-seq analysis.

Mario Flores, Zhentao Liu, Tinghe Zhang

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Frequent Collaborators

2 joint publications

Yu-Chiao Chiu

2 joint publications

Mahmoud ElHefnawi

1 joint publications

Ting-He Zhang

1 joint publications

Anita Omo-Okhuasuyi