most citedCancer Subtyping by Improved Transcriptomic Features Using Vector Quantized Variational Autoencoder

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cs.LG2022★ 2 cited

Cancer Subtyping by Improved Transcriptomic Features Using Vector Quantized Variational Autoencoder

Zheng Chen, Ziwei Yang, Lingwei Zhu +5

Defining and separating cancer subtypes is essential for facilitating personalized therapy modality and prognosis of patients. The definition of subtypes has been constantly recali…

cs.LG2022

Cancer Subtyping via Embedded Unsupervised Learning on Transcriptomics Data

Ziwei Yang, Lingwei Zhu, Zheng Chen +4

Cancer is one of the deadliest diseases worldwide. Accurate diagnosis and classification of cancer subtypes are indispensable for effective clinical treatment. Promising results on…

cs.LG2022★ 1 cited

Automated Sleep Staging via Parallel Frequency-Cut Attention

Zheng Chen, Ziwei Yang, Lingwei Zhu +6

This paper proposes a novel framework for automatically capturing the time-frequency nature of electroencephalogram (EEG) signals of human sleep based on the authoritative sleep me…