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-...

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Detalles Bibliográficos
Autores principales: Li, Shan, Sun, Xuguang, Li, Ting, Shi, Yanqing, Xu, Binjie, Deng, Yuyong, Wang, Sifan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
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

Internet

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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