BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Dana-Farber Cancer Institute - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://ds.dfci.harvard.edu
X-WR-CALDESC:Events for Dana-Farber Cancer Institute
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20240310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20241103T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20250309T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20251102T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20260308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20261101T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250716T130000
DTEND;TZID=America/New_York:20250716T160000
DTSTAMP:20260415T002511
CREATED:20250429T180132Z
LAST-MODIFIED:20250618T191935Z
UID:6062-1752670800-1752681600@ds.dfci.harvard.edu
SUMMARY:Deeper Differential Expression Analysis with Shrinkage Correction
DESCRIPTION:  \nHBC Current Topics in Bioinformatics\nJul 16\, 2025 01:00 PM\nRegister here.\nFebruary’s R Basics\, or a working knowledge of R\, is a prerequisite for this workshop.\n\n\n\nJared Brown\, PhD\nPostdoctoral Research Fellow\, Irizarry Lab\nDFCI Data Science\n\n\nDifferential expression (alternately abundance) analysis is regularly a core tool in identifying and quantifying differences between and across groups in -omics data. In this workshop session with follow-along analysis scripts we will take a deeper look at the models underlying differential expression analysis with the particular example being the DESeq2 framework. We will examine questions around design specification\, the proper use of pre-computed offsets like normalization corrections\, parameter estimation and testing\, and robust false discovery rate correction through post-hoc shrinkage. Examples highlighting how these approaches differ across datasets will be drawn from bulk RNAseq\, single-cell RNAseq\, and ChIPseq.
URL:https://ds.dfci.harvard.edu/event/deeper-differential-expression-analysis-with-shrinkage-correction/
CATEGORIES:Training Session
ATTACH;FMTTYPE=image/png:https://ds.dfci.harvard.edu/wp-content/uploads/2025/04/Brown_Jared-e1748979885739.png
END:VEVENT
END:VCALENDAR