Deep learning for stage prediction in neuroblastoma using gene expression data
Neuroblastoma is a major cause of cancer death in early childhood, and its timely and correct diagnosis is critical. Gene expression datasets have recently been considered as a powerful tool for cancer diagnosis and subtype classification. However, no attempts have yet been made to apply deep learni...
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| Language: | English |
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BioMed Central
2019-09-01
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| Series: | Genomics & Informatics |
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| Online Access: | http://genominfo.org/upload/pdf/gi-2019-17-3-e30.pdf |
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| author | Aron Park Seungyoon Nam |
| author_facet | Aron Park Seungyoon Nam |
| author_sort | Aron Park |
| collection | DOAJ |
| description | Neuroblastoma is a major cause of cancer death in early childhood, and its timely and correct diagnosis is critical. Gene expression datasets have recently been considered as a powerful tool for cancer diagnosis and subtype classification. However, no attempts have yet been made to apply deep learning using gene expression to neuroblastoma classification, although deep learning has been applied to cancer diagnosis using image data. Taking the International Neuroblastoma Staging System stages as multiple classes, we designed a deep neural network using the gene expression patterns and stages of neuroblastoma patients. Despite a small patient population (n = 280), stage 1 and 4 patients were well distinguished. If it is possible to replicate this approach in a larger population, deep learning could play an important role in neuroblastoma staging. |
| format | Article |
| id | doaj-art-54c36fe99d5647b19005a2f0eeb46020 |
| institution | Kabale University |
| issn | 2234-0742 |
| language | English |
| publishDate | 2019-09-01 |
| publisher | BioMed Central |
| record_format | Article |
| series | Genomics & Informatics |
| spelling | doaj-art-54c36fe99d5647b19005a2f0eeb460202025-02-02T21:17:01ZengBioMed CentralGenomics & Informatics2234-07422019-09-0117310.5808/GI.2019.17.3.e30576Deep learning for stage prediction in neuroblastoma using gene expression dataAron Park0Seungyoon Nam1 Department of Health Sciences and Technology, Gachon Advanced Institute for Health Sciences and Technology, Gachon University, Incheon 21565, Korea Department of Health Sciences and Technology, Gachon Advanced Institute for Health Sciences and Technology, Gachon University, Incheon 21565, KoreaNeuroblastoma is a major cause of cancer death in early childhood, and its timely and correct diagnosis is critical. Gene expression datasets have recently been considered as a powerful tool for cancer diagnosis and subtype classification. However, no attempts have yet been made to apply deep learning using gene expression to neuroblastoma classification, although deep learning has been applied to cancer diagnosis using image data. Taking the International Neuroblastoma Staging System stages as multiple classes, we designed a deep neural network using the gene expression patterns and stages of neuroblastoma patients. Despite a small patient population (n = 280), stage 1 and 4 patients were well distinguished. If it is possible to replicate this approach in a larger population, deep learning could play an important role in neuroblastoma staging.http://genominfo.org/upload/pdf/gi-2019-17-3-e30.pdfdeep learninggene expressionneuroblastoma |
| spellingShingle | Aron Park Seungyoon Nam Deep learning for stage prediction in neuroblastoma using gene expression data Genomics & Informatics deep learning gene expression neuroblastoma |
| title | Deep learning for stage prediction in neuroblastoma using gene expression data |
| title_full | Deep learning for stage prediction in neuroblastoma using gene expression data |
| title_fullStr | Deep learning for stage prediction in neuroblastoma using gene expression data |
| title_full_unstemmed | Deep learning for stage prediction in neuroblastoma using gene expression data |
| title_short | Deep learning for stage prediction in neuroblastoma using gene expression data |
| title_sort | deep learning for stage prediction in neuroblastoma using gene expression data |
| topic | deep learning gene expression neuroblastoma |
| url | http://genominfo.org/upload/pdf/gi-2019-17-3-e30.pdf |
| work_keys_str_mv | AT aronpark deeplearningforstagepredictioninneuroblastomausinggeneexpressiondata AT seungyoonnam deeplearningforstagepredictioninneuroblastomausinggeneexpressiondata |