Sensitivity and Specificity of the compared methods over 14 cancer subtypes on the GCM dataset.
2015 · Figshare · 0 citations
https://doi.org/10.1371/journal.pone.0138814.t002
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Jia Zhilong
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Jia Zhilong is an academic researcher. The author has contributed to research in topics: AI in cancer detection & Neural Networks and Applications & Digital Imaging for Blood Diseases.
Papers by this author
worksConfusion matrix of prediction results using CNMF, which achieves a total accuracy of 38.4%.
2015 · Figshare · 0 citations
https://doi.org/10.1371/journal.pone.0138814.g005
Description of the Acute Leukemia dataset.
2015 · Figshare · 0 citations
https://doi.org/10.1371/journal.pone.0138814.t003
Description of the GCM dataset.
2015 · Figshare · 0 citations
https://doi.org/10.1371/journal.pone.0138814.t001
The toy example illustrating (a) the synthetic 3D original data including the labeled and unlabeled samples and the ground-truth labels, (b) the labeled results of unlabeled samples, (c) the learned coefficients of the unlabeled samples, and (d) the learned basis by Semi-PNMF.
2015 · Figshare · 0 citations
https://doi.org/10.1371/journal.pone.0138814.g001
The toy example illustrating the labeling results obtained from the coefficients when the propagation procedure arrives at the (a) initialization stage, (b) 50-th iteration round, (c) 300-th iteration round, and (d) the resultant convergence (1500-th iteration round), respectively.
2015 · Figshare · 0 citations
https://doi.org/10.1371/journal.pone.0138814.g002
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