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tinnlab
RCPA:Consensus Pathway Analysis
Provides a set of functions to perform pathway analysis and meta-analysis from multiple gene expression datasets, as well as visualization of the results. This package wraps functionality from the following packages: Ritchie et al. (2015) <doi:10.1093/nar/gkv007>, Love et al. (2014) <doi:10.1186/s13059-014-0550-8>, Robinson et al. (2010) <doi:10.1093/bioinformatics/btp616>, Korotkevich et al. (2016) <arxiv:10.1101/060012>, Efron et al. (2015) <https://CRAN.R-project.org/package=GSA>, and Gu et al. (2012) <https://CRAN.R-project.org/package=CePa>.
Maintained by Ha Nguyen. Last updated 5 months ago.
biobasedeseq2geoqueryedgerlimmarcyjsfgseabrowservizsummarizedexperimentannotationdbirontotools
1 stars 5.50 score 70 scriptsdesiquintans
novelqualcodes:Visualise the Path to a Stopping Point in Qualitative Interviews Based on Novel Codes
In semi-structured interviews that use the 'framework' method, it is not always clear how refinements to interview questions affect the decision of when to stop interviews. The trend of 'novel' and 'duplicate' interview codes (novel codes are information that other interviewees have not previously mentioned) provides insight into the richness of qualitative information. This package provides tools to visualise when refinements occur and how that affects the trends of novel and duplicate codes. These visualisations, when used progressively as new interviews are finished, can help the researcher to decide on a stopping point for their interviews.
Maintained by Desi Quintans. Last updated 1 years ago.
3.70 score 3 scriptsblakelanglais
ProAE:PRO-CTCAE Scoring, Analysis, and Graphical Tools
A collection of tools to facilitate standardized analysis and graphical procedures when using the National Cancer Institute’s Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE) and other PRO measurements.
Maintained by Blake Langlais. Last updated 5 months ago.
3.48 score 9 scripts