Single-cell classification, analysis, and its application using deep learning techniques
Single-cell analysis (SCA) improves the detection of cancer, the immune system, and chronic diseases from complicated biological processes. SCA techniques generate high-dimensional, innovative, and complex data, making traditional analysis difficult and impractical. In the different cell types, conv...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Elsevier
2024
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/41622/1/Single-cell%20classification-%20analysis-and%20its%20application%20using%20deep%20learning%20techniques_ABST.pdf http://umpir.ump.edu.my/id/eprint/41622/2/Single-cell%20classification-analysis-and%20its%20application%20using%20deep%20learning%20techniques.pdf http://umpir.ump.edu.my/id/eprint/41622/ https://doi.org/10.1016/j.biosystems.2024.105142 https://doi.org/10.1016/j.biosystems.2024.105142 |
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