Corresponding code of 'Quiros A.C.+, Coudray N.+, Yeaton A., Yang X., Chiriboga L., Karimkhan A., Narula N., Pass H., Moreira A.L., Le Quesne J.*, Tsirigos A.*, and Yuan K.* Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unlabeled, unannotated pathology slides. 2024'
I ran into some statistical problems about Cox proportional hazard regression while reading your work.
You mentioned in the article that you implement a central logarithmic transformation after using multiplicative replacement for WSI vector representations to ensure independence between the covariates. But I noticed that after these transformations, the sum of the features in each row is almost equal to 0. Whether this is a hidden linear relationship and affects the calculation of Cox covariates, such as making the value of a covariate tend to infinity？
I would be grateful if you could answer these questions to me.
Hi, @AdalbertoCq ,
Thanks for sharing a wonderful work！
I ran into some statistical problems about Cox proportional hazard regression while reading your work.
You mentioned in the article that you implement a central logarithmic transformation after using multiplicative replacement for WSI vector representations to ensure independence between the covariates. But I noticed that after these transformations, the sum of the features in each row is almost equal to 0. Whether this is a hidden linear relationship and affects the calculation of Cox covariates, such as making the value of a covariate tend to infinity？
I would be grateful if you could answer these questions to me.
Thanks.