التفاصيل البيبلوغرافية
| العنوان: |
Adipose HDL master regulator analysis. |
| المؤلفون: |
Jason W. Hoskins (11726336), Charles C. Chung (3074544), Aidan O’Brien (11726339), Jun Zhong (236780), Katelyn Connelly (11726342), Irene Collins (11726345), Jianxin Shi (90453), Laufey T. Amundadottir (3213816) |
| سنة النشر: |
2021 |
| المجموعة: |
Smithsonian Institution: Digital Repository |
| مصطلحات موضوعية: |
Biochemistry, Cell Biology, Genetics, Molecular Biology, Biotechnology, Developmental Biology, Cancer, Infectious Diseases, Computational Biology, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, wide association study, regulators whose activities, phenotypic master regulators, div >< p, detect activity qtls, 35 bmi mr, target network interactions, ephb2 cis <, gwas signal may, ephb2 <, cis <, different regulators, phenotypic mrs, gwas signal, bmi mrs, >- qtls, target overlap, target genes, trans < |
| الوصف: |
(A) Cross-validated prediction performance of random forest regression models with the number of predictors sequentially reduced by five. Models were trained to predict HDL from regulator activities 12 times, each with a unique seed. The plot compares the number of predictors included in the model versus the mean cross-validation error and error bars indicate the standard deviation of the 12 analyses. (B) Rank order for the top 100 regulators by importance to HDL prediction by the final random forest model. The importance is measured as the percent increase in the mean squared error (MSE) upon permutation of the regulator across all trees of the random forest. (PDF) |
| نوع الوثيقة: |
article in journal/newspaper |
| اللغة: |
unknown |
| العلاقة: |
https://figshare.com/articles/journal_contribution/Adipose_HDL_master_regulator_analysis_/17045285Test |
| DOI: |
10.1371/journal.pcbi.1009563.s005 |
| الإتاحة: |
https://doi.org/10.1371/journal.pcbi.1009563.s005Test |
| حقوق: |
CC BY 4.0 |
| رقم الانضمام: |
edsbas.10DE40D3 |
| قاعدة البيانات: |
BASE |
