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Integration of network toxicology, machine learning and single-cell sequencing identifies candidate molecular links between air pollutants and hepatocellular carcinoma
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| Published in: | Discover Oncology |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1871203213775994880 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Discover Oncology |
| description | |
| discipline_display | Endocrinology |
| discipline_facet | Endocrinology |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:104518 |
| institution | FRELIP |
| journal_source_facet | Discover Oncology |
| last_indexed | 2026-07-20T03:34:05.187Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Integration of network toxicology, machine learning and single-cell sequencing identifies candidate molecular links between air pollutants and hepatocellular carcinoma Endocrinology General Endocrinology |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Endocrinology General Endocrinology |
| subject_facet | Endocrinology General Endocrinology |
| title | Integration of network toxicology, machine learning and single-cell sequencing identifies candidate molecular links between air pollutants and hepatocellular carcinoma |
| title_alt | Integración de toxicología de redes, aprendizaje automático y secuenciación de células individuales identifica vínculos moleculares candidatos entre contaminantes del aire y carcinoma hepatocelular Intégration de la toxicologie réseau, de l'apprentissage automatique et du séquençage unicellulaire pour identifier les liens moléculaires candidats entre les polluants atmosphériques et le carcinome hépatocellulaire Integração de toxicologia de rede, aprendizado de máquina e sequenciamento de célula única identifica ligações moleculares candidatas entre poluentes atmosféricos e carcinoma hepatocelular |
| title_auth | Integration of network toxicology, machine learning and single-cell sequencing identifies candidate molecular links between air pollutants and hepatocellular carcinoma |
| title_es_txt | Integración de toxicología de redes, aprendizaje automático y secuenciación de células individuales identifica vínculos moleculares candidatos entre contaminantes del aire y carcinoma hepatocelular |
| title_fr_txt | Intégration de la toxicologie réseau, de l'apprentissage automatique et du séquençage unicellulaire pour identifier les liens moléculaires candidats entre les polluants atmosphériques et le carcinome hépatocellulaire |
| title_full | Integration of network toxicology, machine learning and single-cell sequencing identifies candidate molecular links between air pollutants and hepatocellular carcinoma |
| title_fullStr | Integration of network toxicology, machine learning and single-cell sequencing identifies candidate molecular links between air pollutants and hepatocellular carcinoma |
| title_full_unstemmed | Integration of network toxicology, machine learning and single-cell sequencing identifies candidate molecular links between air pollutants and hepatocellular carcinoma |
| title_pt_txt | Integração de toxicologia de rede, aprendizado de máquina e sequenciamento de célula única identifica ligações moleculares candidatas entre poluentes atmosféricos e carcinoma hepatocelular |
| title_short | Integration of network toxicology, machine learning and single-cell sequencing identifies candidate molecular links between air pollutants and hepatocellular carcinoma |
| title_sort | integration of network toxicology, machine learning and single-cell sequencing identifies candidate molecular links between air pollutants and hepatocellular carcinoma |
| topic | Endocrinology General Endocrinology |
| url | https://link.springer.com/article/10.1007/s12672-026-05569-x |