دورية أكاديمية
Predicting tumor cell line response to drug pairs with deep learning.
| العنوان: | Predicting tumor cell line response to drug pairs with deep learning. |
|---|---|
| المؤلفون: | Xia, Fangfang, Shukla, Maulik, Brettin, Thomas, Garcia-Cardona, Cristina, Cohn, Judith, Allen, Jonathan E, Maslov, Sergei, Holbeck, Susan L, Doroshow, James H, Evrard, Yvonne A, Stahlberg, Eric A, Stevens, Rick L |
| المصدر: | BMC Bioinformatics ; ISSN:1471-2105 ; Volume:19 ; Issue:Suppl 18 |
| بيانات النشر: | BioMed Central |
| سنة النشر: | 2018 |
| المجموعة: | PubMed Central (PMC) |
| مصطلحات موضوعية: | Combination therapy, Deep learning, Machine learning, in silico drug screening |
| الوصف: | The National Cancer Institute drug pair screening effort against 60 well-characterized human tumor cell lines (NCI-60) presents an unprecedented resource for modeling combinational drug activity. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| العلاقة: | https://doi.org/10.1186/s12859-018-2509-3Test; https://pubmed.ncbi.nlm.nih.gov/30577754Test; https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6302446Test/ |
| DOI: | 10.1186/s12859-018-2509-3 |
| الإتاحة: | https://doi.org/10.1186/s12859-018-2509-3Test https://pubmed.ncbi.nlm.nih.gov/30577754Test https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6302446Test/ |
| رقم الانضمام: | edsbas.CFF13924 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1186/s12859-018-2509-3 |
|---|