ロード中...
Machine Learning helps Identify New Drug Mechanisms in Triple-Negative Breast Cancer
This paper demonstrates the ability of machine learning approaches to identify a few genes among the 23,398 genes of the human genome to experiment on in the laboratory to establish new drug mechanisms. As a case study, this work uses MDA-MB-231 breast cancer single-cells treated with the antidiabet...
保存先:
| 出版年: | IEEE Trans Nanobioscience |
|---|---|
| 主要な著者: | , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2018
|
| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6148350/ https://ncbi.nlm.nih.gov/pubmed/29994716 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TNB.2018.2851997 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|