1. Bioinformatics Analysis Identified Key Molecular Changes in Bladder Cancer Development and Recurrence
    Qingke Chen et al, 2019, BioMed Research International CrossRef
  2. The neurological and non-neurological roles of the primary microcephaly-associated protein ASPM
    Xingxuan Wu et al, 2023, Frontiers in Neuroscience CrossRef
  3. Identification of key genes and carcinogenic pathways in hepatitis B virus-associated hepatocellular carcinoma through bioinformatics analysis
    Sang-Hoon Kim et al, 2022, Annals of Hepato-Biliary-Pancreatic Surgery CrossRef
  4. Primary microcephaly with an unstable genome
    Shibin Xu et al, 2020, Genome Instability & Disease CrossRef
  5. ASPM promotes migration and invasion of anaplastic thyroid carcinoma by stabilizing KIF11
    Qilu Fang et al, 2023, Cell Biology International CrossRef
  6. Screening ANLN and ASPM as bladder urothelial carcinoma-related biomarkers based on weighted gene co-expression network analysis
    Tenghao Yang et al, 2023, Frontiers in Genetics CrossRef
  7. Construction of a prediction model for prognosis of bladder cancer based on the expression of ion channel-related genes
    Dianfeng ZHANG et al, 2023, Journal of Zhejiang University (Medical Sciences) CrossRef
  8. Construction of a novel mRNA-signature prediction model for prognosis of bladder cancer based on a statistical analysis
    Jianpeng Li et al, 2021, BMC Cancer CrossRef
  9. ASPM Is a Prognostic Biomarker and Correlates With Immune Infiltration in Kidney Renal Clear Cell Carcinoma and Liver Hepatocellular Carcinoma
    Tingting Deng et al, 2022, Frontiers in Oncology CrossRef
  10. Improvement of variables interpretability in kernel PCA
    Mitja Briscik et al, 2023, BMC Bioinformatics CrossRef
  11. Screening and Identification of Key Biomarkers for Bladder Cancer: A Study Based on TCGA and GEO Data
    Yingkun Xu et al, 2020, BioMed Research International CrossRef
  12. Evaluation of ASPM and TEF Gene Expressions as Potential Biomarkers for Bladder Cancer
    Amany A. Saleh et al, 2020, Biochemical Genetics CrossRef
  13. Differentially expressed discriminative genes and significant meta-hub genes based key genes identification for hepatocellular carcinoma using statistical machine learning
    Md. Al Mehedi Hasan et al, 2023, Scientific Reports CrossRef
  14. Elucidating the molecular role of MUC5B in progressive lung adenocarcinoma: Prospects for early diagnosis
    Gayathri Ashok et al, 2024, Journal of Molecular Recognition CrossRef
  15. ASPM combined with KIF11 promotes the malignant progression of hepatocellular carcinoma via the Wnt/β‑catenin signaling pathway
    Bin Wu et al, 2021, Experimental and Therapeutic Medicine CrossRef
  16. Integrated Network Analysis Reveals FOXM1 and MYBL2 as Key Regulators of Cell Proliferation in Non-small Cell Lung Cancer
    Firoz Ahmed, 2019, Frontiers in Oncology CrossRef
  17. Abnormal spindle-like microcephaly-associated (ASPM) gene expression in posterior fossa brain tumors of childhood and adolescence
    Débora Cabral de Carvalho Corrêa et al, 2021, Child's Nervous System CrossRef
  18. Identification of Potential Biomarkers for Pan-Cancer Diagnosis and Prognosis Through the Integration of Large-Scale Transcriptomic Data
    Lin Zhu et al, 2022, Frontiers in Pharmacology CrossRef
  19. ASPM overexpression enhances cellular proliferation and migration and predicts worse prognosis for papillary renal cell carcinoma
    Ning Li et al, 2023, Journal of Biosciences CrossRef