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unknownprimary's Introduction

unknownPrimary

Classifying Cancers of unknown primary

Project has been finished and is available here

Todo

  • Collect data htseq of mRNA Breast and Colon Data.
  • KNN Impute zeroes
  • Linearise about mean of 1
  • binary classifier SVM (linear kernel, gaussian otherwise)
  • Multiclass classifier for more cancer types.
  • Colon vs Colorectal
  • CNV and MEth
  • Other data types multi kernel.

Plan

Data

Build up a dataset of breast and prostate expression data for training Design an api to collect data and preprocess for future purposes

SVM

Start with 2 cancers and do classification of each (Breast and Prostate) with expression data

Notes

Order of number of samples GDC is Lung (4977), Breast (3682), Colorectal (2755) (of which is colon (2305) and rectum (371)), Kidney (2201). Try using Breast and colon sample size 200 of each.

Resources

[https://portal.gdc.cancer.gov/]

unknownprimary's People

Contributors

matt-ramcharan avatar

Stargazers

Jiang Runqiang avatar

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