Cancer is heterogeneous disease! -> enabled characterization of new tumor subtypes for improving personalized treatment and ultimately achieving better patient outcomes. To address these challenges, Combined ‘StratomeX’, an interactive visualization tools to efficiently compare multiple patient stratifications, to correlate patient sets with clinical information or genomic alterations and to view the differences between molecular profiles across patient sets.
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Cancer is heterogeneous disease! -> enabled characterization of new tumor subtypes for improving personalized treatment and ultimately achieving better.
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Cancer is heterogeneous disease!
-> enabled characterization of new tumor subtypes for improving personalized
treatment and ultimately achieving better patient outcomes.
To address these challenges,
Combined ‘StratomeX’, an interactive visualization tools to efficiently com-
pare multiple patient stratifications, to correlate patient sets with clinical informa-
tion or genomic alterations and to view the differences between molecular profiles
across patient sets.
Interactive visualization tool
“StratomeX”
http://www.caleydo.org
Core projects
OS: Window 7,8 , Mac, Linux / Java 7
K: knowledge-driven approaches
D: data-driven approaches
Input data class / type
Seamless integration of visual and computational components in the extended StratomeX tool.
1) Based on Similarity to a selected stratification
2) Based on Overlap with selectec patient set
3) Based on Logrank test for patient survival (Mantel-Haenszel test)
4) Based on Gene Set enrichment for a selected patient set
StratomeX user interface
StratomeX complements the network viewers, heat maps and genome browsers typically used in cancer genomics
-The wider the bands, the higher the correlation between
patient sets.
-The results of queries are lists of elements ranked by a
score, which are shown in the LineUp view
-Elements selected in the LineUp view are immediately vi-