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A novel proteomic-based model for predicting colorectal cancer with Schistosoma japonicum co‐infection by integrated bioinformatics analysis and machine learning
Schistosoma japonicum infection is an important public health problem and the S. japonicum infection is associated with a variety of diseases, including colorectal cancer. We collected the paraffin samples of CRC patients with or without S. japonicum infection according to standard procedures. Data-...
Autores principales: | Li, Shan, Sun, Xuguang, Li, Ting, Shi, Yanqing, Xu, Binjie, Deng, Yuyong, Wang, Sifan |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614356/ https://www.ncbi.nlm.nih.gov/pubmed/37904220 http://dx.doi.org/10.1186/s12920-023-01711-8 |
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