Author

Alfredo Rodriguez

Instituto Nacional de PediatriaORCID 0000-0002-1072-8631Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Alfredo Rodriguez1 paper · MBF Bioscience (United States)

Biology Disciplines

Click to filter author papers

Cancer Biology· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Assay:ChIP-seq· 1 Research Focus:chromatin & epigenetic regulation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

Anet Rivera-Osorio· 1 shared Bibiana T. Barcenas Martínez· 1 shared Boyu WangiD· 1 shared Chen Lian· 1 shared David SosaiD· 1 shared Hugo Sámano-Sánchez· 1 shared Hugo TovariD· 1 shared Iram García Quezada· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperCancer Biology

Anet Rivera-Osorio

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Cancer BiologyAdvanced SciencePeer-reviewedMay 26, 2026

A Non-Canonical Role of SMAD4 in Regulating 3D Genome Architecture to Inhibit Lung Squamous Cell Carcinoma Development

Qian Tang, Chen Lian, Xinyan Han…·Jian Liu

This study identifies SMAD4 as a regulator of 3D genome architecture in lung squamous cell carcinoma, showing its role in inhibiting tumor development by constraining chromatin looping.

2 citations

𝕏 PostBluesky

Cancer BiologyPLoS ONEPeer-reviewedJan 20, 2026

Prediction of myeloid malignant cells in Fanconi anemia using machine learning

Luis Angel Flores-Mejía, Pablo Siliceo, Ulises Juárez…·Alfredo Rodríguez

This study uses machine learning to identify myeloid malignant transcriptional profiles in FA patients' bone marrow using scRNAseq data, achieving high sensitivity and specificity for MDS and AML detection.

3 citations

𝕏 PostBluesky