Xiaye Miao

Yangzhou, China

Last Updated: 09/26/2026

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Found 11 publications

Machine learning prioritization identifies PANX1 as an inflammation-associated candidate regulator in lung adenocarcinoma.

Machine learning prioritization identifies PANX1 as an inflammation-associated candidate regulator in lung adenocarcinoma.

Journal: Frontiers in genetics

Published: March 15, 2026

Single-cell and machine learning-based neural regulation signature for prognosis prediction and immunotherapy response in lung adenocarcinoma.

Single-cell and machine learning-based neural regulation signature for prognosis prediction and immunotherapy response in lung adenocarcinoma.

Journal: Translational oncology

Published: February 24, 2026

Harnessing machine learning for the development, validation, and prognostic evaluation of MASHRisk score: insights from a multicohort study.

Harnessing machine learning for the development, validation, and prognostic evaluation of MASHRisk score: insights from a multicohort study.

Journal: NPJ digital medicine

Published: September 11, 2025

Chaperonin proteins CCT5 and CCT7 epigenetically restrict the transition from pluripotency to totipotency in embryonic stem cells.

Chaperonin proteins CCT5 and CCT7 epigenetically restrict the transition from pluripotency to totipotency in embryonic stem cells.

Journal: Stem cell reports

Published: July 30, 2025

Novel Machine Learning Approaches Revolutionize Pancreatic Malignancy Prognosis: Exploring Programed Cell Death.

Novel Machine Learning Approaches Revolutionize Pancreatic Malignancy Prognosis: Exploring Programed Cell Death.

Journal: Mediators of inflammation

Published: July 05, 2025

Comprehensive multi-omics analysis identifies chromatin regulator-related signatures and TFF1 as a therapeutic target in lung adenocarcinoma through a 429-combination machine learning approach.

Comprehensive multi-omics analysis identifies chromatin regulator-related signatures and TFF1 as a therapeutic target in lung adenocarcinoma through a 429-combination machine learning approach.

Journal: Frontiers in immunology

Published: August 16, 2024

From single-cell to spatial transcriptomics: decoding the glioma stem cell niche and its clinical implications.

From single-cell to spatial transcriptomics: decoding the glioma stem cell niche and its clinical implications.

Journal: Frontiers in immunology

Published: August 03, 2024

Unravelling tumour cell diversity and prognostic signatures in cutaneous melanoma through machine learning analysis.

Unravelling tumour cell diversity and prognostic signatures in cutaneous melanoma through machine learning analysis.

Journal: Journal of cellular and molecular medicine

Published: May 01, 2024

Navigating colorectal cancer prognosis: A Treg-related signature discovered through single-cell and bulk transcriptomic approaches.

Navigating colorectal cancer prognosis: A Treg-related signature discovered through single-cell and bulk transcriptomic approaches.

Journal: Environmental toxicology

Published: January 18, 2024

A novel immunogenomic signature to predict prognosis and reveal immune infiltration characteristics in pancreatic ductal adenocarcinoma.

A novel immunogenomic signature to predict prognosis and reveal immune infiltration characteristics in pancreatic ductal adenocarcinoma.

Journal: Precision clinical medicine

Published: February 24, 2022

Design of immunogens: The effect of bifunctional chelator on immunological response to chelated copper.

Design of immunogens: The effect of bifunctional chelator on immunological response to chelated copper.

Journal: Journal of pharmaceutical and biomedical analysis

Published: November 29, 2018

Showing 1-11 of 11

Last Updated: 09/26/2026