JOURNAL ARTICLE

A novel defined programmed cell death related gene signature for predicting the prognosis of serous ovarian cancer

Feng ZhanYina GuoLidan He

Year: 2024 Journal:   Journal of Ovarian Research Vol: 17 (1)Pages: 92-92   Publisher: BioMed Central
Keywords:
Serous fluid Nomogram Oncology Proportional hazards model Biology Immune system Gene signature Survival analysis Gene Ovarian cancer Gene expression Medicine Cancer Computational biology Bioinformatics Cancer research Internal medicine Immunology Genetics

Metrics

4
Cited By
2.27
FWCI (Field Weighted Citation Impact)
58
Refs
0.80
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cancer-related molecular mechanisms research
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Cancer Research
Single-cell and spatial transcriptomics
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology
RNA modifications and cancer
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology
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