International journal of molecular sciences, 2021-04, Vol.22 (9), p.4563
2021
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Details
- Autor(en) / Beteiligte
- Titel
- Artificial Intelligence in Bulk and Single-Cell RNA-Sequencing Data to Foster Precision Oncology
- Ist Teil von
- International journal of molecular sciences, 2021-04, Vol.22 (9), p.4563
- Ort / Verlag
- Switzerland: MDPI AG
- Erscheinungsjahr
- 2021
- Quelle
- EZB Electronic Journals Library
- Beschreibungen/Notizen
- Artificial intelligence, or the discipline of developing computational algorithms able to perform tasks that requires human intelligence, offers the opportunity to improve our idea and delivery of precision medicine. Here, we provide an overview of artificial intelligence approaches for the analysis of large-scale RNA-sequencing datasets in cancer. We present the major solutions to disentangle inter- and intra-tumor heterogeneity of transcriptome profiles for an effective improvement of patient management. We outline the contributions of learning algorithms to the needs of cancer genomics, from identifying rare cancer subtypes to personalizing therapeutic treatments.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 1422-0067, 1661-6596eISSN: 1422-0067DOI: 10.3390/ijms22094563Titel-ID: cdi_doaj_primary_oai_doaj_org_article_a2c3e3ecd75540faaad22f0aa5d08c5f
- Format
- –
- Schlagworte
- Algorithms, Artificial intelligence, Big Data, Biomarkers, Cancer, cancer heterogeneity, Computer applications, Coronaviruses, COVID-19, Datasets, Gene expression, Genomes, Genomics, Heterogeneity, Learning algorithms, Oncology, Pandemics, Precision medicine, Review, RNA sequencing, Severe acute respiratory syndrome coronavirus 2, Transcriptomes