التفاصيل البيبلوغرافية
| العنوان: |
A machine learning approach for somatic mutation discovery |
| المؤلفون: |
Wood, Derrick E., White, James R., Georgiadis, Andrew, Van Emburgh, Beth, Parpart-Li, Sonya, Mitchell, Jason, Anagnostou, Valsamo, Niknafs, Noushin, Karchin, Rachel, Papp, Eniko, McCord, Christine, LoVerso, Peter, Riley, David, Diaz, Luis A., Jones, Siân, Sausen, Mark, Velculescu, Victor E., Angiuoli, Samuel V. |
| المساهمون: |
National Institutes of Health, LUNGevity Foundation, Commonwealth Foundation, Dr. Miriam and Sheldon G. Adelson Medical Research Foundation, Stand Up To Cancer |
| المصدر: |
Science Translational Medicine ; volume 10, issue 457 ; ISSN 1946-6234 1946-6242 |
| بيانات النشر: |
American Association for the Advancement of Science (AAAS) |
| سنة النشر: |
2018 |
| الوصف: |
A machine learning approach to detect somatic mutations in cancer patients outperforms existing methods and may improve clinical outcome. |
| نوع الوثيقة: |
article in journal/newspaper |
| اللغة: |
English |
| DOI: |
10.1126/scitranslmed.aar7939 |
| الإتاحة: |
https://doi.org/10.1126/scitranslmed.aar7939Test |
| رقم الانضمام: |
edsbas.2586B4AE |
| قاعدة البيانات: |
BASE |
