Xiaoyu Song

Assistant Professor

Icahn School of Medicine at Mount Sinai

United States

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About

Xiaoyu Song is an Assistant Professor at the Icahn School of Medicine at Mount Sinai, USA. His research areas include cell–cell interactions in transcriptomics, genetic variants associated with prostate cancer risk in Black men, and integrative multi-omic cancer profiling. Recent articles highlight advancements in proteogenomics, histopathology, and the application of deep learning in cancer research.

Articles (16)

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2025

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2022

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Oregon Health & Science University

UNITED STATES

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Xiaoyu Song

Research Interests

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Articles (16)

QuadST identifies cell–cell interaction–changed genes in spatially resolved transcriptomics data

Vitamin D-related genetic variants and prostate cancer risk in Black men

Erratum: Proteogenomic analysis of chemo-refractory high-grade serous ovarian cancer (Cell (2023) 186(16) (3476–3498.e35), (S0092867423007377), (10.1016/j.cell.2023.07.004))

Pan-cancer proteogenomics characterization of tumor immunity

RECCIPE: A new framework assessing localized cell-cell interaction on gene expression in multicellular ST data

Structurally constrained and pathology-aware convolutional transformer generative adversarial network for virtual histology staining of human coronary optical coherence tomography images

MiXcan: a framework for cell-type-aware transcriptome-wide association studies with an application to breast cancer

iProMix: A Mixture Model for Studying the Function of ACE2 based on Bulk Proteogenomic Data

Unlocking Cellular Insights Through Cell-Type Decomposition

Deep learning integrates histopathology and proteogenomics at a pan-cancer level

Examination of fully automated mammographic density measures using LIBRA and breast cancer risk in a cohort of 21,000 non-Hispanic white women

Integrative multi-omic cancer profiling reveals DNA methylation patterns associated with therapeutic vulnerability and cell-of-origin

SNPs at SMG7 Associated with Time from Biochemical Recurrence to Prostate Cancer Death

Multi-Scale Reconstruction of Undersampled Spectral-Spatial OCT Data for Coronary Imaging Using Deep Learning

Erratum: Integrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma (Cell (2019) 179(4) (964–983.e31), (S0092867419311237), (10.1016/j.cell.2019.10.007))

Alcohol and Tobacco Use in Relation to Mammographic Density in 23,456 Women

Collaborators (7)

Weiva Sieh

Robert Klein

Yu Gan

Brigitta Brott

Zeynep Gümüş

Pei Wang

Ryan Kopp

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