RNN-CNN Based Cancer Prediction Model for Gene Expression

One of those illnesses that is most deadly to people is cancer. The only way to prevent any harm to humanity is by its early discovery and treatment. Various types of tests are conducted in the medical labs for the detection of cancer. Cancer can also be detected at the genetic level. For this disti...

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Veröffentlicht in:	IEEE access 2023, Vol.11, p.131024-131044
Hauptverfasser:	Thakur, Tanima, Batra, Isha, Malik, Arun, Ghimire, Deepak, Kim, Seong-Heum, Sanwar Hosen, A. S. M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Artificial neural networks Cancer Classifiers CNN Convolutional neural networks Datasets Deep learning Feature extraction Gene expression Machine learning Neural networks Performance measurement Prediction models Recurrent neural networks RNN Tumors Unsupervised learning
Online-Zugang:	Volltext
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