Systematic benchmarking of omics computational tools
Benchmarking studies are important for comprehensively understanding and evaluating different computational omics methods. Here, the authors review practices from 25 recent studies and propose principles to improve the quality of benchmarking studies.
Saved in:
Main Authors: | Serghei Mangul, Lana S. Martin, Brian L. Hill, Angela Ka-Mei Lam, Margaret G. Distler, Alex Zelikovsky, Eleazar Eskin, Jonathan Flint |
---|---|
Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2019
|
Subjects: | |
Online Access: | https://doaj.org/article/a3c0bd0bb13543f8b62f96c08042e5be |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Benchmarking joint multi-omics dimensionality reduction approaches for the study of cancer
by: Laura Cantini, et al.
Published: (2021) -
Benchmarking selected computational gene network growing tools in context of virus-host interactions
by: Biruhalem Taye, et al.
Published: (2017) -
Benchmarking an 11-qubit quantum computer
by: K. Wright, et al.
Published: (2019) -
Benchmarking Bacterial Promoter Prediction Tools: Potentialities and Limitations
by: Murilo Henrique Anzolini Cassiano, et al.
Published: (2020) -
Innovative Tools of Educational Organization Development Management: Benchmarking
by: E. O. Okunkova
Published: (2020)