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Connection

Casey Greene to Unsupervised Machine Learning

This is a "connection" page, showing publications Casey Greene has written about Unsupervised Machine Learning.

 
Connection Strength
 
 
 
0.433
 
  1. Taroni JN, Grayson PC, Hu Q, Eddy S, Kretzler M, Merkel PA, Greene CS. MultiPLIER: A Transfer Learning Framework for Transcriptomics Reveals Systemic Features of Rare Disease. Cell Syst. 2019 05 22; 8(5):380-394.e4.
    View in: PubMed
    Score: 0.164
  2. Way GP, Greene CS. Extracting a biologically relevant latent space from cancer transcriptomes with variational autoencoders. Pac Symp Biocomput. 2018; 23:80-91.
    View in: PubMed
    Score: 0.149
  3. Tan J, Ung M, Cheng C, Greene CS. Unsupervised feature construction and knowledge extraction from genome-wide assays of breast cancer with denoising autoencoders. Pac Symp Biocomput. 2015; 132-43.
    View in: PubMed
    Score: 0.121
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

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