Pengzhen Hu

Xi'an, China

Last Updated: 09/26/2026

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Found 8 publications

scCMIA: Mutual Information-Guided Decoupled Learning for Robust Single-Cell Cross-Modal Integration.

scCMIA: Mutual Information-Guided Decoupled Learning for Robust Single-Cell Cross-Modal Integration.

Journal: IEEE transactions on computational biology and bioinformatics

Published: September 01, 2026

Prediction of gene expression levels in Saccharomyces cerevisiae based on chromatin accessibility using multiple machine learning models.

Prediction of gene expression levels in Saccharomyces cerevisiae based on chromatin accessibility using multiple machine learning models.

Journal: Computational biology and chemistry

Published: December 16, 2025

Large-scale data-driven pre-trained DNA models enhance performance across diverse genomics tasks.

Large-scale data-driven pre-trained DNA models enhance performance across diverse genomics tasks.

Journal: Nature communications

Published: September 28, 2025

Guiding post-pancreaticoduodenectomy interventions for pancreatic cancer patients utilizing decision tree models.

Guiding post-pancreaticoduodenectomy interventions for pancreatic cancer patients utilizing decision tree models.

Journal: Frontiers in oncology

Published: March 11, 2024

Long-range transcription factor binding sites clustered regions may mediate transcriptional regulation through phase-separation interactions in early human embryo.

Long-range transcription factor binding sites clustered regions may mediate transcriptional regulation through phase-separation interactions in early human embryo.

Journal: Computational and structural biotechnology journal

Published: February 20, 2024

The hierarchical folding dynamics of topologically associating domains during early embryo development.

The hierarchical folding dynamics of topologically associating domains during early embryo development.

Journal: BMC biology

Published: January 13, 2024

Effectiveness of machine learning at modeling the relationship between Hi-C data and copy number variation.

Effectiveness of machine learning at modeling the relationship between Hi-C data and copy number variation.

Journal: Quantitative biology (Beijing, China)

Published: September 12, 2023

CGMega: explainable graph neural network framework with attention mechanisms for cancer gene module dissection.

CGMega: explainable graph neural network framework with attention mechanisms for cancer gene module dissection.

Journal: Nature communications

Published: July 18, 2023

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Last Updated: 09/26/2026