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DTSTART;TZID=America/New_York:20250716T130000
DTEND;TZID=America/New_York:20250716T160000
DTSTAMP:20260417T105858
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
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250618T130000
DTEND;TZID=America/New_York:20250618T160000
DTSTAMP:20260417T105858
CREATED:20250429T175848Z
LAST-MODIFIED:20250618T191951Z
UID:6058-1750251600-1750262400@ds.dfci.harvard.edu
SUMMARY:Statistics for Computational Biology Projects
DESCRIPTION:HBC Current Topics in Bioinformatics\nJune 18\, 2025\, 01:00-4:00 PM\nRegister here. \nErica Holdmore\, PhD\nComputational Biologist\, Knowledge Systems\nDFCI Department of Data Sciences \nStatistics is an important tool for computational biologists because it helps us quantitatively understand and analyze biological data. This interactive training session will cover an introduction to statistical concepts. Topics will include: experimental design\, data cleaning\, common analysis methods (logistic regression\, ANOVA\, GLM\, multiple comparisons)\, and interpreting results.
URL:https://ds.dfci.harvard.edu/event/statistics-for-computational-biology-projects/
CATEGORIES:Training Session
ATTACH;FMTTYPE=image/png:https://ds.dfci.harvard.edu/wp-content/uploads/2025/04/Holdmore_erica.png
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220615T100000
DTEND;TZID=America/New_York:20220615T120000
DTSTAMP:20260417T105858
CREATED:20220525T113553Z
LAST-MODIFIED:20220617T113622Z
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SUMMARY:Training Session: Biomarkers in Cancer Research
DESCRIPTION:Wednesday June 15\, 2022\n10:00-12:00pm Eastern Time \nNabihah Tayob\, PhD\nAssistant Professor\nDepartment of Data Science\, Dana-Farber Cancer Institute\nHarvard Medical School \nZoom registration: https://bit.ly/TSJune22 \n 
URL:https://ds.dfci.harvard.edu/event/training-session-biomarkers-in-cancer-research/
CATEGORIES:Training Session
ATTACH;FMTTYPE=image/png:https://ds.dfci.harvard.edu/wp-content/uploads/2020/04/tayob_nabihah-1.png
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210616T100000
DTEND;TZID=America/New_York:20210616T120000
DTSTAMP:20260417T105858
CREATED:20210608T184016Z
LAST-MODIFIED:20210630T184005Z
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SUMMARY:Training Session: Survival Analysis and Competing Risks Data Analysis
DESCRIPTION:June 16\, 23\, and 30\, 2021\n10:00am-12:00PM Eastern Time \nHaesook Kim\, PhD\nPrincipal Research Scientist\nDepartment of Data Science\, Dana-Farber Cancer Institute\nDepartment of Biostatistics\, Harvard T.H. Chan School of Public Health \nRSVP: https://bit.ly/DSTSJune16
URL:https://ds.dfci.harvard.edu/event/training-session-survival-analysis-and-competing-risks-data-analysis/2021-06-16/
CATEGORIES:Training Session
ATTACH;FMTTYPE=image/png:https://ds.dfci.harvard.edu/wp-content/uploads/2021/06/kim_headshot.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210519T100000
DTEND;TZID=America/New_York:20210519T120000
DTSTAMP:20260417T105858
CREATED:20210415T135645Z
LAST-MODIFIED:20210520T125744Z
UID:2703-1621418400-1621425600@ds.dfci.harvard.edu
SUMMARY:Training Session: Efficient Phase I Clinical Trial Design
DESCRIPTION:May 19\, 2021\n10:00am-12:00PM Eastern Time \nFangxin Hong\, PhD\nSenior Research Scientist\nDepartment of Data Science\, Dana-Farber Cancer Institute\nDepartment of Biostatistics\, Harvard T.H. Chan School of Public Health \n  \n 
URL:https://ds.dfci.harvard.edu/event/training-session-efficient-phase-i-clinical-trial-design/
CATEGORIES:Training Session
ATTACH;FMTTYPE=image/jpeg:https://ds.dfci.harvard.edu/wp-content/uploads/2021/04/FH.jpg
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200826T100000
DTEND;TZID=America/New_York:20200826T120000
DTSTAMP:20260417T105858
CREATED:20200811T132449Z
LAST-MODIFIED:20200811T132513Z
UID:1899-1598436000-1598443200@ds.dfci.harvard.edu
SUMMARY:Training Sessions: InForm
DESCRIPTION:Wednesday August 26 from 10:00am to 12:00PM \nDanny Quinn will demonstrate extracting DF/HCC clinical trials data from InForm (which is the electronic data capture system (eDC)) into SAS data sets. There will also be a discussion on the attributes of the data sets and various utilities which support the extraction process.
URL:https://ds.dfci.harvard.edu/event/training-sessions-inform/
CATEGORIES:Training Session
ATTACH;FMTTYPE=image/png:https://ds.dfci.harvard.edu/wp-content/uploads/2020/08/laptop.png
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200226T100000
DTEND;TZID=America/New_York:20200226T120000
DTSTAMP:20260417T105858
CREATED:20200429T162749Z
LAST-MODIFIED:20200511T121722Z
UID:651-1582711200-1582718400@ds.dfci.harvard.edu
SUMMARY:Introduction to single cell RNA-seq data analysis for statisticians
DESCRIPTION:Data Science Training Session\nKelly Street\, Research Fellow\nEtai Jacob\, Research Fellow \nIn this short course\, we will introduce some of the most widely used tools for single cell analysis. We will describe common experimental methods utilized in the community to generate single cell RNA-seq data and demonstrate modern pre-processing and analysis pipelines. In addition\, we will discuss potential problems which frequently show up in analysis and ways to deal with them. After our first meeting\, participants will be encouraged to practice some of the workflows we will share with them in order to discuss issues they encountered during the second meeting.
URL:https://ds.dfci.harvard.edu/event/introduction-to-single-cell-rna-seq-data-analysis-for-statisticians/2020-02-26/
LOCATION:Center of Life Sciences\, Room 11081\, 3 Blackfan Circle\, Boston\, MA\, 02215\, United States
CATEGORIES:Training Session
ATTACH;FMTTYPE=image/png:https://ds.dfci.harvard.edu/wp-content/uploads/2020/04/street_jacob_TS.png
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200219T100000
DTEND;TZID=America/New_York:20200219T120000
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CREATED:20200429T161423Z
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UID:644-1582106400-1582113600@ds.dfci.harvard.edu
SUMMARY:Alternatives to Hazard Ratio for Quantifying Treatment Effect on Time-to-Event Outcomes
DESCRIPTION:Data Science Training Session\nHajime Uno\nAssistant Professor\, Department of Data Science\nDana-Farber Cancer Institute
URL:https://ds.dfci.harvard.edu/event/alternatives-to-hazard-ratio-for-quantifying-treatment-effect-on-time-to-event-outcomes/
LOCATION:Center of Life Sciences\, Room 11081\, 3 Blackfan Circle\, Boston\, MA\, 02215\, United States
CATEGORIES:Training Session
ATTACH;FMTTYPE=image/png:https://ds.dfci.harvard.edu/wp-content/uploads/2020/04/uno_TS.png
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200122T100000
DTEND;TZID=America/New_York:20200122T120000
DTSTAMP:20260417T105858
CREATED:20200429T131206Z
LAST-MODIFIED:20200511T121722Z
UID:632-1579687200-1579694400@ds.dfci.harvard.edu
SUMMARY:Collaborative Grant Writing and Statistical Methods for Grants
DESCRIPTION:Data Sciences Training Session\nRebecca Gelman\, PhD\nAssociate Professor\, Department of Data Sciences\nDana-Farber Cancer Institute
URL:https://ds.dfci.harvard.edu/event/collaborative-grant-writing-and-statistical-methods-for-grants/
LOCATION:Center of Life Sciences\, Room 11081\, 3 Blackfan Circle\, Boston\, MA\, 02215\, United States
CATEGORIES:Training Session
ATTACH;FMTTYPE=image/png:https://ds.dfci.harvard.edu/wp-content/uploads/2020/04/gelman_TS.png
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200121T130000
DTEND;TZID=America/New_York:20200121T140000
DTSTAMP:20260417T105858
CREATED:20200429T130831Z
LAST-MODIFIED:20200511T121722Z
UID:622-1579611600-1579615200@ds.dfci.harvard.edu
SUMMARY:NEJM Statistical Guidelines for Authors: Under the Hood
DESCRIPTION:Data Sciences Training Session\nDavid Harrington\, PhD\nProfessor\, Department of Data Sciences\nDana-Farber Cancer Institute
URL:https://ds.dfci.harvard.edu/event/david-harrington-presents-nejm-statistical-guidelines-for-authors/
LOCATION:Center of Life Sciences\, Room 11081\, 3 Blackfan Circle\, Boston\, MA\, 02215\, United States
CATEGORIES:Training Session
ATTACH;FMTTYPE=image/png:https://ds.dfci.harvard.edu/wp-content/uploads/2020/04/harrington_TS.png
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20191204T050000
DTEND;TZID=America/New_York:20191204T070000
DTSTAMP:20260417T105858
CREATED:20200408T213229Z
LAST-MODIFIED:20200511T121722Z
UID:94-1575435600-1575442800@ds.dfci.harvard.edu
SUMMARY:Design of Phase III Studies
DESCRIPTION:Data Sciences Training Session\nDesign of Phase III Studies\, Part II \nRobert Gray\, PhD\nProfessor\, Department of Data Science\nDana-Farber Cancer Institute
URL:https://ds.dfci.harvard.edu/event/robert-gray-phd-leads-training-on-design-of-phase-iii-studies/
LOCATION:Center of Life Sciences\, Room 11081\, 3 Blackfan Circle\, Boston\, MA\, 02215\, United States
CATEGORIES:Training Session
ATTACH;FMTTYPE=image/png:https://ds.dfci.harvard.edu/wp-content/uploads/2020/04/robert-gray-event.png
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