Description: Automated reporting in Word and PowerPoint can require customization for each organizational template. This package works around this by adding standard reporting functions and an abstraction layer to facilitate automated reporting workflows that can be replicated across different organizational templates.

Description: Allows users to discover and retrieve Ocean Networks Canada's oceanographic data in raw, text, image, audio, video or any other format available. Provides a class that wraps web service calls and business logic so that users can download data with a single line of code.
Authors@R: c(person("Dany", "Cabrera", role = "aut"),
person("Allan", "Rempel", role = "ctb"),
person("Bennit", "Mueller", role = c("ctb","cre"), email = "data@oceannetworks.ca"))
Imports: anytime, httr, methods, humanize, lubridate, stringi, tictoc,

Title: Execute Expensive Operations Only Once
person("Gordon", "McDonald", , "gordon.mcdonald@sydney.edu.au", role = c("aut", "cre"),
Description: Allows you to easily execute expensive compute operations only once, and save the resulting object to disk.
Author: Gordon McDonald [aut, cre] (<https://orcid.org/0000-0002-2890-527X>)

Description: Bridges in vitro drug screening with in vivo drug and biomarker discovery. Specifically, predicts in vivo or cancer patient drug response and biomarkers to enrich for response from cell line screening data. Builds model using ridge regression, and enables biomarker discovery by imputing drug response in large cancer molecular datasets. It also enables drug specific biomarker identification by correcting for general level of drug sensitivity shared among the population.
biocViews: sva, preprocessCore, stringr, biomaRt, genefilter,
Imports: parallel, ridge, car, glmnet, pls, sva, preprocessCore,
tidyverse, readxl, TCGAbiolinks, BiocGenerics, GenomicRanges,
Author: Danielle Maeser [aut, cre] (<https://orcid.org/0000-0002-3890-887X>),

GenomicFeatures, genefilter, gdata, tidyverse, readxl,
BiocGenerics, GenomicRanges, IRanges, S4Vectors, org.Hs.eg.db,