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QCBio Research Seminar: Xinzhou Ge (Li JJ), Postdoc in Statistics

February 2 @ 12:00 pm - 12:30 pm

TITLE: “P-value-free solution to fix exaggerated false positives by popular differential expression methods.”

ABSTRACT: We report a surprising phenomenon that popular bioinformatics methods for identifying differentially expressed genes (DEG) between two conditions have unexpectedly high false discovery rates (FDRs) on large-sample-size RNA-seq datasets. Failed FDR control is likely due to the invalid p-values which rely on unrealistic assumptions. To address this issue, we use a general statistical framework Clipper to control the FDR in DEG analysis without relying on p-values.

Details

Date:
February 2
Time:
12:00 pm - 12:30 pm
Event Category:

Venue

ZOOM
CA United States
View Venue Website

Organizer

QCBio

Details

Date:
February 2
Time:
12:00 pm - 12:30 pm
Event Category:

Venue

ZOOM
CA United States
View Venue Website

Organizer

QCBio