Shuangge Steven Ma, PhD

2026

• Tree-based heterogeneous block Gaussian graphical models

  Zeng X, Ma S, Zhang Q. Tree-based heterogeneous block Gaussian graphical models. Computational Statistics & Data Analysis 2026, 222: 108399. DOI: 10.1016/j.csda.2026.108399.

  Peer-Reviewed Original Research

• A high-dimensional additive model with a nonparametric extension of Box–Cox transformations

  Liang W, Zhang Q, Ma S. A high-dimensional additive model with a nonparametric extension of Box–Cox transformations. Statistics & Probability Letters 2026, 236: 110756. DOI: 10.1016/j.spl.2026.110756.

  Peer-Reviewed Original Research

• Supervised Heterogeneous Gaussian Graphical Models

  Zeng X, Ma S, Zhang Q. Supervised Heterogeneous Gaussian Graphical Models. Journal Of Computational And Graphical Statistics 2026, ahead-of-print: 1-10. DOI: 10.1080/10618600.2026.2653759.

  Peer-Reviewed Original Research

• Variable selection and inference with a new robust Bayesian elastic net

  Lu X, Ren J, Ma S, Wu C. Variable selection and inference with a new robust Bayesian elastic net. Journal Of Statistical Computation And Simulation 2026, ahead-of-print: 1-25. DOI: 10.1080/00949655.2026.2666569.

  Peer-Reviewed Original Research

• Medicare Insurance Type and Broad Genomic Profiling in Metastatic Cancer

  Chow R, Rothen J, Long J, Soulos P, Wang X, Mamtani R, Ma S, Kunst N, Dinan M, Gross C. Medicare Insurance Type and Broad Genomic Profiling in Metastatic Cancer. JAMA Network Open 2026, 9: e2614919. PMID: 42201732, PMCID: PMC13216988, DOI: 10.1001/jamanetworkopen.2026.14919.

  Peer-Reviewed Original Research

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  MeSH Keywords

• Causal links among gut microbiota, immune-inflammatory and compensatory immune-regulatory systems, and schizophrenia

  Yang B, He L, Liu T, Ma S, Wu Y, Wen L, Emu B. Causal links among gut microbiota, immune-inflammatory and compensatory immune-regulatory systems, and schizophrenia. Neuropsychopharmacology 2026, 1-12. PMID: 41986467, PMCID: PMC13215341, DOI: 10.1038/s41386-026-02407-0.

  Peer-Reviewed Original Research

  Citations

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• Heterogeneous Gene Network Estimation for Single-Cell Transcriptomic Data via a Joint Regularized Deep Neural Network

  Yang J, Li T, Wang T, Ma S, Wu M. Heterogeneous Gene Network Estimation for Single-Cell Transcriptomic Data via a Joint Regularized Deep Neural Network. Journal Of The American Statistical Association 2026, ahead-of-print: 1-12. DOI: 10.1080/01621459.2026.2615185.

  Peer-Reviewed Original Research

  Citations

• Latent space modeling for human disease network with temporal variations: Analysis of medicare data

  Zhu G, Wang R, Li R, Zhang S, Ma S, Qiao G, Mei H. Latent space modeling for human disease network with temporal variations: Analysis of medicare data. The Annals Of Applied Statistics 2026, 20: 364-384. DOI: 10.1214/25-aoas2121.

  Peer-Reviewed Original Research

• A Taxonomy for Assessing Real-World Targeted Cancer Therapy Options in the Context of Broad Genomic Profiling

  Wang X, Long J, Rothen J, Huang S, Soulos P, Goldberg S, Robinson T, Ma S, Mamtani R, Presley C, Wang S, Kunst N, Gross C, Dinan M. A Taxonomy for Assessing Real-World Targeted Cancer Therapy Options in the Context of Broad Genomic Profiling. Journal Of The National Comprehensive Cancer Network 2026, 24: e257131. PMID: 41698347, PMCID: PMC13112471, DOI: 10.6004/jnccn.2025.7131.

  Peer-Reviewed Original Research

  This study introduces Y-MATRIX, a taxonomy classifying genomic profiling results by clinical actionability, showing increased actionable findings in advanced lung cancer from 2017 to 2023.

  Full Summary

• Integrating Omics and Pathological Imaging Data for Cancer Prognosis via a Deep Neural Network‐Based Cox Model

  Li J, Ma S. Integrating Omics and Pathological Imaging Data for Cancer Prognosis via a Deep Neural Network‐Based Cox Model. Statistics In Medicine 2026, 45: e70435. PMID: 41641685, DOI: 10.1002/sim.70435.

  Peer-Reviewed Original Research

  MeSH Keywords