Mary Qu Yang Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

High Impact

Researcher

University of Arkansas at Little Rock

faculty

30 h-index 197 pubs 5,086 cited

Research Areas

Cancer-related molecular mechanisms research Advanced Neural Network Applications Genomics and Phylogenetic Studies Bioinformatics and Genomic Networks Cancer Genomics and Diagnostics Neurological disorders and treatments Metabolism and Genetic Disorders AI in cancer detection

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Research Group

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OverviewAI-generated summary

Mary Qu Yang's research focuses on the application of computational methods, particularly artificial intelligence and machine learning, to address complex biological and medical challenges. Her work investigates the use of advanced analytical techniques for disease classification and the development of new strategies for drug discovery in oncology. Yang has published research evaluating the analytical validity of circulating tumor DNA sequencing assays for precision oncology and comparing machine learning approaches for enhancing Alzheimer's disease classification.

Further investigations by Yang involve characterizing the tumor microenvironment and its prognostic impact in breast cancer, as well as analyzing gene regulation to understand perturbations in autism spectrum disorder during neural system development. She also works on integrating single-cell transcriptome and network analysis to understand therapeutic responses in chronic myeloid leukemia and developing methods for missing value recovery in single-cell RNA sequencing data. Yang leads a research group and has collaborated with researchers from institutions including the National Center for Toxicological Research and the University of Arkansas for Medical Sciences. Her scholarship metrics include an h-index of 30, with 197 total publications and over 5,000 citations.

Metrics

  • h-index: 30
  • Publications: 197
  • Citations: 5,086

Selected Publications

  • Single-Cell Transcriptomic Analysis Unveils Key Regulators and Signaling Pathways in Lung Adenocarcinoma Progression (2025) DOI
  • Characterizing the Tumor Microenvironment and Its Prognostic Impact in Breast Cancer (2024) DOI
  • Novel Thienopyrimidine-Hydrazinyl Compounds Induce DRP1-Mediated Non-Apoptotic Cell Death in Triple-Negative Breast Cancer Cells (2024) DOI
  • cnnImpute: missing value recovery for single cell RNA sequencing data (2024) DOI
  • A Deep Learning-Based Model for Gene Regulatory Network Inference (2023) DOI
  • Analysis of Single-Cell RNA Sequencing Data Unveils Novel Immune Prognostic Biomarkers (2023) DOI
  • Exploring Barriers to Diversity, Equity, and Inclusion in Communication Sciences and Disorders Students (2023) DOI
  • Additional file 2 of Deep oncopanel sequencing reveals within block position-dependent quality degradation in FFPE processed samples (2022) DOI
  • Additional file 3 of Deep oncopanel sequencing reveals within block position-dependent quality degradation in FFPE processed samples (2022) DOI
  • Integrating Single-Cell Transcriptome and Network Analysis to Characterize the Therapeutic Response of Chronic Myeloid Leukemia (2022) DOI
  • Deep oncopanel sequencing reveals within block position-dependent quality degradation in FFPE processed samples (2022) DOI
  • Missing Value Recovery for Single Cell RNA Sequencing Data (2021) DOI
  • Gene Regulation Analysis Reveals Perturbations of Autism Spectrum Disorder during Neural System Development (2021) DOI
  • Brain Tumor Segmentation Using Deep Neural Networks and Survival Prediction (2021) DOI
  • Merging Deep Learning and Data Analytics for Inferring Coronavirus Human Adaptive Transmutability and Transmissibility (2021) DOI

Collaborators

Researchers in the database who share publications

Binsheng Gong National Center for Toxicological Research 6 shared publications Donald J. Johann University of Arkansas for Medical Sciences 6 shared publications Dan Li National Center for Toxicological Research 5 shared publications Jialu Ma University of Arkansas at Little Rock 3 shared publications Joshua Xu National Center for Toxicological Research 3 shared publications John Talburt University of Arkansas at Little Rock 2 shared publications Weida Tong National Center for Toxicological Research 2 shared publications Leihong Wu National Center for Toxicological Research 2 shared publications

Similar Researchers

Based on overlapping research topics

Dong Wang National Center for Toxicological Research
Cancer-related molecular mechanisms research Advanced Neural Network Applications Genomics and Phylogenetic Studies
Good match 5 shared topics
L. Lynn Harris University of Arkansas at Fayetteville
Cancer-related molecular mechanisms research Advanced Neural Network Applications Bioinformatics and Genomic Networks
Good match 4 shared topics
Madison P. Lee University of Arkansas for Medical Sciences
Cancer-related molecular mechanisms research Bioinformatics and Genomic Networks Cancer Genomics and Diagnostics
Good match 4 shared topics
Muna A. Abdal Rhida University of Arkansas at Fayetteville
Cancer-related molecular mechanisms research Genomics and Phylogenetic Studies Bioinformatics and Genomic Networks
Good match 4 shared topics
Leihong Wu National Center for Toxicological Research
Advanced Neural Network Applications Bioinformatics and Genomic Networks Cancer Genomics and Diagnostics
Good match 4 shared topics
Christopher P. Wardell University of Arkansas for Medical Sciences
Cancer-related molecular mechanisms research Genomics and Phylogenetic Studies Bioinformatics and Genomic Networks
Good match 4 shared topics