Machine learning analysis of Drosophila testis transcriptomic data reveals potential regulatory sequences
Abstract Background The number of accessible transcriptomic data is increasing rapidly due to advances in affordable sequencing technologies. There is also an improvement in the quality and resolution of gene expression maps, which was driven by the advent of single-cell technologies. Results Here w...
محفوظ في:
| المؤلفون الرئيسيون: | , , |
|---|---|
| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
BMC
2026-03-01
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| سلاسل: | BioData Mining |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://doi.org/10.1186/s13040-026-00552-2 |
| الوسوم: |
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