Protocol for using Ciclops to build models trained on cross-platform transcriptome data for clinical outcome prediction

Designing robust, generalizable models based on cross-platform data to predict clinical outcomes remains challenging. Building explainable models is important because models may perform differently depending on the conditions of the samples. Here, we describe the use of Ciclops (cross-platform train...

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Detalles Bibliográficos
Autores principales: Chou, Elysia, Zhang, Hanrui, Guan, Yuanfang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9307566/
https://www.ncbi.nlm.nih.gov/pubmed/35880126
http://dx.doi.org/10.1016/j.xpro.2022.101583

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9307566/
https://www.ncbi.nlm.nih.gov/pubmed/35880126
http://dx.doi.org/10.1016/j.xpro.2022.101583

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