Ma, Qin

Improving protein-protein interactions prediction accuracy using XGBoost feature selection and stacked ensemble classifier

Chen, C., Zhang, Q., Yu, B., Yu, Z., Lawrence, P. J., Ma, Q., & Zhang, Y. (2020) · Computers in Biology and Medicine

Machine Learning in BioinformaticsBioinformatics and Genomic Networks

Cited by 238

A shared disease-associated oligodendrocyte signature among multiple CNS pathologies

Kenigsbuch, M., Bost, P., Halevi, S., Chang, Y., Chen, S., Ma, Q., Hajbi, R., Schwikowski, B., Bodenmiller, B., Fu, H., et al. (2022) · Nature Neuroscience

Alzheimer's disease research and treatmentsSingle-cell and spatial transcriptomics

Cited by 233

Single-cell biological network inference using a heterogeneous graph transformer

Ma, A., Wang, X., Li, J., Wang, C., Xiao, T., Liu, Y., Cheng, H., Wang, J., Li, Y., Chang, Y., et al. (2023) · Nature Communications

Single-cell and spatial transcriptomicsBioinformatics and Genomic Networks

Cited by 184

Deep learning shapes single-cell data analysis

Ma, Q., & Xu, D. (2022) · Nature Reviews Molecular Cell Biology

Single-cell and spatial transcriptomicsCell Image Analysis Techniques

Cited by 123

NIH SenNet Consortium to map senescent cells throughout the human lifespan to understand physiological health.

SenNet Consortium, Writing Group, Lee, P. J., Benz, C. C., Blood, P., Börner, K., Campisi, J., Chen, F., Daldrup-Link, H., De Jager, P., et al. (2022) · Nature Aging

Telomeres, Telomerase, and SenescenceGenetics, Aging, and Longevity in Model Organisms

Cited by 122

A visual–omics foundation model to bridge histopathology with spatial transcriptomics

Chen, W., Zhang, P., Tran, T. N., Xiao, Y., Li, S., Shah, V. V., Cheng, H., Brannan, K. W., Youker, K., Lai, L., et al. (2025) · Nature Methods

Single-cell and spatial transcriptomicsAI in cancer detection

Cited by 118

A single-cell and spatial RNA-seq database for Alzheimer’s disease (ssREAD)

Wang, C., Acosta, D., McNutt, M., Bian, J., Ma, A., Fu, H., & Ma, Q. (2024) · Nature Communications

Single-cell and spatial transcriptomicsAlzheimer's disease research and treatments

Cited by 73

LTMG: A novel statistical modeling of transcriptional expression states in single-cell RNA-Seq data

Wan, C., Chang, W., Zhang, Y., Shah, F., Lu, X., Zang, Y., Zhang, A., Cao, S., Fishel, M. L., Ma, Q., et al. (2018) · Nucleic Acids Research

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 45

Advancing biological understanding of cellular senescence with computational multiomics

Li, S., Agudelo Garcia, P. A., Aliferis, C., Becich, M. J., Calyeca, J., Cosgrove, B. D., Elisseeff, J., Farzad, N., Fertig, E. J., Glass, C., et al. (2025) · Nature Genetics

Telomeres, Telomerase, and SenescenceSingle-cell and spatial transcriptomics

Cited by 40

Computational methods and challenges in analyzing intratumoral microbiome data

Wang, Q., Liu, Z., Ma, A., Li, Z., Liu, B., & Ma, Q. (2023) · Trends in Microbiology

Gut microbiota and healthCancer Immunotherapy and Biomarkers

Cited by 37

Harnessing the deep learning power of foundation models in single-cell omics

Ma, Q., Jiang, Y., Cheng, H., & Xu, D. (2024) · Nature Reviews Molecular Cell Biology

Single-cell and spatial transcriptomicsBioinformatics and Genomic Networks

Cited by 34

Using Machine Learning to Measure Relatedness Between Genes: A Multi-Features Model

Wang, Y., Yang, S., Zhao, J., Du, W., Liang, Y., Wang, C., Zhou, F., Tian, Y., & Ma, Q. (2019) · Scientific Reports

Bioinformatics and Genomic NetworksGene Regulatory Network Analysis

Cited by 26

Systematic analysis of cellular cross-talk reveals a role for SEMA6D-TREM2 regulating microglial function in Alzheimer’s disease

D’Oliveira Albanus, R., Finan, G. M., Brase, L., Sweeney, N., Kim, T. Y., Chen, S., Ryoo, Y., Park, J., Guo, Q., Iyer, A. K., et al. (2025) · Science Translational Medicine

Neuroinflammation and Neurodegeneration MechanismsAlzheimer's disease research and treatments

Cited by 19

Oligodendrocyte-specific Argonaute profiling identifies microRNAs associated with experimental autoimmune encephalomyelitis

Ma, Q., Matsunaga, A., Ho, B., Oksenberg, J. R., & Didonna, A. (2020) · Journal of Neuroinflammation

Multiple Sclerosis Research StudiesMicroRNA in disease regulation

Cited by 14