Non-invasive Multi-Omics Profiling Unveils the Molecular Landscape of HPV-Driven Cervical Precursor Lesions
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| Natura: | Recurso digital |
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Zenodo
2025
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| _version_ | 1866902286995816448 |
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| author | Ayass Bioscience LLC |
| author_facet | Ayass Bioscience LLC |
| contents | <p>This dataset contains differential gene expression (DEG) results generated from transcriptomic analyses of four cervical cytology subtypes: <strong>NILM, ASCUS, LSIL, and HSIL</strong>. The cervical cancer samples were sequenced <strong>in-house at Ayass Bioscience’s laboratory</strong>, and raw data were processed to identify stage-specific transcriptional alterations.</p> <p>Data were generated and analyzed by Ayass Bioscience as part of a study submitted to Cancers MDPI.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_16921227 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Non-invasive Multi-Omics Profiling Unveils the Molecular Landscape of HPV-Driven Cervical Precursor Lesions Ayass Bioscience LLC Transcriptome Cervical cancer DNA Probes, HPV pap smear Cytology cancer prevention <p>This dataset contains differential gene expression (DEG) results generated from transcriptomic analyses of four cervical cytology subtypes: <strong>NILM, ASCUS, LSIL, and HSIL</strong>. The cervical cancer samples were sequenced <strong>in-house at Ayass Bioscience’s laboratory</strong>, and raw data were processed to identify stage-specific transcriptional alterations.</p> <p>Data were generated and analyzed by Ayass Bioscience as part of a study submitted to Cancers MDPI.</p> |
| title | Non-invasive Multi-Omics Profiling Unveils the Molecular Landscape of HPV-Driven Cervical Precursor Lesions |
| topic | Transcriptome Cervical cancer DNA Probes, HPV pap smear Cytology cancer prevention |
| url | https://doi.org/10.5281/zenodo.16921227 |