Unlock your biological data

?

Batch effect correction software tools | RNA sequencing data analysis

It is now known that unwanted noise and unmodeled artifacts such as batch effects can dramatically reduce the accuracy of statistical inference in genomic experiments. These sources of noise must be modeled and removed to accurately measure biological variability and to obtain correct statistical inference when performing high-throughput genomic analysis.

Source text:
(Leek, 2014) svaseq: removing batch effects and other unwanted noise from sequencing data. Nucleic Acids Res.

1 - 15 of 15 results
filter_list Filters
laptop Operating System
desktop_windows Interface
important_devices Computer Skill
copyright Restriction to use
memory Programming Language
healing Disease
import_contacts Journal
account_balance Funding
1 - 15 of 15 results
0 - 0 of 0 results
1 - 13 of 13 results
filter_list Filters
business_center Job seeker
Disable 7
assignment_ind Position
public Country
memory Programming Language