Sparse Regression in Cancer Genomics: Comparing Variable Selection and Predictions in Real World Data
Background: Evaluation of gene interaction models in cancer genomics is challenging, as the true distribution is uncertain. Previous analyses have benchmarked models using synthetic data or databases of experimentally verified interactions – approaches which are susceptible to misrepresentation and...
Enregistré dans:
| Auteurs principaux: | , , , |
|---|---|
| Format: | article |
| Langue: | EN |
| Publié: |
SAGE Publishing
2021
|
| Sujets: | |
| Accès en ligne: | https://doaj.org/article/d2c6613ebad14b04be7cce97ef0de93f |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|