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ICGC-TCGA-PanCancer / TumorType-WGS

Classifying tumor types based on Whole Genome Sequencing (WGS) data
Apache License 2.0
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Asking for providing the feature vectors #3

Open n-tasnina opened 4 years ago

n-tasnina commented 4 years ago

I read your paper 'A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns'. I would like to reproduce the result from this paper by training the random forest and neural network model you provided here. I would be glad if you could provide me the value of each feature (that you mentioned in Table 2: WGS feature types used in classifier) for PCAWG training and test datasets in a format that can directly be used to train and test the models. The feature vectors for the independent validation dataset would also be very helpful.

primasanjaya commented 4 years ago

Same here, I would like to reproduce your result, would you mind to give a feature vectors that you used in the experiment

jjfeng commented 4 years ago

I would also like the feature vectors for reproducing results or the code for generating the feature vectors. Could you share it to us directly or upload it to the github?

AlexCaneborg commented 4 years ago

Same here, could you possibly provide the feature vectors used? Could you also possibly clarify the data format for the input?