Ensemble-Based Method for Detecting Differential Expression in RNA Datasets Provides Greater Sensitivity and Less Biased p-Values Than Existing Methods Free White Paper

Request Your Free White Paper Now:

"Ensemble-Based Method for Detecting Differential Expression in RNA Datasets Provides Greater Sensitivity and Less Biased p-Values Than Existing Methods"

Free White Paper: "Ensemble-Based Method for Detecting Differential Expression in RNA Datasets Provides Greater Sensitivity and Less Biased p-Values Than Existing Methods"

This white paper from Q2 Solutions introduces a novel "stacking" ensemble method for detecting differential gene expression that combines the outputs of traditional methods through a logistic regression model to produce less biased p-values and demonstrates superior performance in various testing scenarios.
View full description >

Get Started

Complete the form below:

Work Email Address

First Name

Last Name

Company Name

Job Title

Job Area

Please Specify
for Other:

Work Phone Number

Company Size

Company Industry

Please Specify
for Other:

Company Street Address

Company Suite/Office

Company Postal/Zip Code

Company City

Company State

Company Country

Summary

By downloading this material, you consent for GenomeWeb to share your contact information with the sponsor, who may occasionally send you relevant information on their products and services. You may unsubscribe or change your email preferences through links in emails you receive. For more information, see the GenomeWeb Privacy Policy.

Valid email address is required to fulfill your request.

To learn more about how your data is processed, stored, and kept secure please read our Privacy Policy.

Request Your Free White Paper Now: