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Added information on project and methods

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  1. README.md +29 -1
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@@ -4,4 +4,32 @@ datasets:
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  - tahoebio/Tahoe-100M
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  tags:
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  - tahoe-deepdive
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - tahoebio/Tahoe-100M
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  tags:
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  - tahoe-deepdive
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+ ---
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+
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+ This is Frameshift's team submission for the Tahoe-DeepDive Hackathon 2025.
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+
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+ Team Name
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+ Frameshift
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+ Members
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+ Jesus Gonzalez Ferrer, UCSC, @JesusGF1
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+ Carlota Pereda, UCSF,@carlotapereda
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+ Laura Almonte, UCSF, @almonteloya
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+ Aidan Winters, Arc Institute/UCSF, @aidanwinters
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+ Michael Kosicki, LBL, @lotard
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+
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+ Project
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+ Title
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+
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+ Overview
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+ Personalized (ie. context-specific) treatments lead to better cancer outcomes. We want to develop a framework that is able to measure how
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+ drugs affect cells differently based on their genetic context and that is also to explain the genetic programs that cells use to respond.
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+
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+ Motivation
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+
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+ Methods
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+ CellCap, Augur, MSE, E-distance.
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+ Results
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+ Discussion