Biostatistics and Bioinformatics Applications for Cancer Research
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Integrated Genomic Analysis of:
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Clustering Analysis
with NOJAH
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Supervised Principle Component Analysis
with GAC
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Survival Analysis
with CASAS
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Exploratory Analysis
with shinyEA
Survival Analysis:
Cancer Survival Analysis Suite (CASAS)
Survival analysis in cancer research is one of the most fundamental analysis methods, answering the frequent question of whether a marker is associated with overall survival. We dive deeper into this question by testing marker associations that occur ‘early’ vs. later vs. a landmark start time.
With CASAS, you can use:
- Any data set with survival information
With CASAS, you can define:
- Markers associated with survival starting with either a ‘landmark’ time or ‘early on’ post treatment
- Several gene associations for single cancer type or several cancer types associations for a single gene
- Statistical significance of a prognostic signature
Publication:
Rupji, M., Zhang, X. and Kowalski, J. (2017) CASAS: Cancer Survival Analysis Suite, a web based application [version 2; referees: 2 approved]. F1000Res.