Concepedia

Extracting a biologically latent space of lung cancer epigenetics with variational autoencoders

BMC Bioinformatics · 2019 · 43 citations · 20 references

Open access

Abstract

VAEs can distinguish the original subtypes from manually mixed methylation data frame with the encoded features of latent space. Further applications about VAEs should focus on fine-grained subtypes identification for precision medicine.

References

20

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Visualizing Data using t-SNE

Laurens van der Maaten, Geoffrey E. Hinton · Journal of Machine Learning Research · 2008 · 35.7K citations

Engineering, Data Visualization, Data Exploration +16

Dermatologist-level classification of skin cancer with deep neural networks

Andre Esteva, Brett Kuprel, Roberto A. Novoa et al. · Nature · 2017 · 13K citations · Full text

Dermoscopic Image, Convolutional Neural Network, Deep Neural Networks +6

The NumPy Array: A Structure for Efficient Numerical Computation

Stéfan van der Walt, Steven C. Colbert, Gaël Varoquaux · Computing in Science & Engineering · 2011 · 10.7K citations · Full text

Data Structures for Statistical Computing in Python

Wes McKinney · Proceedings of the Python in Science Conferences · 2010 · 10.6K citations · Full text

Data Representation, Engineering, Financial Data +22