Description: A light, simple tool for sending emails with minimal dependencies.
Imports: base64enc, curl, glue, httr, magrittr, mime, stringi
Packaged: 2020-02-27 10:50:28 UTC; rstudio-user
Maintainer: Andrew B. Collier <andrew@exegetic.biz>

Packaged: 2020-03-07 10:30:49 UTC; rstudio-user

Packaged: 2020-06-03 14:06:05 UTC; rstudio-user

Imports: base64enc, curl (>= 4.0), glue, httr, magrittr, mime, purrr,
Suggests: here, testthat (>= 2.1.0), roxygen2, hexSticker, showtext
Maintainer: Andrew B. Collier <andrew.b.collier@gmail.com>

Suggests: here, testthat (>= 2.1.0), roxygen2, showtext

Imports: base64enc, curl (>= 4.0), dplyr, glue, httr, magrittr, mime,
purrr, stringi, stringr, tibble, tidyr, vctrs

Packaged: 2020-10-02 15:53:42 UTC; rstudio-user

Imports: base64enc, commonmark, curl (>= 4.0), digest, dplyr, glue,
httr, logger, magrittr, mime, purrr, rlang (>= 0.4.3),
rmarkdown, stringr, tibble, tidyr, urltools, vctrs, xfun, xml2

htmltools, httr, logger, magrittr, mime, purrr, rmarkdown,
stringr, tidyr, urltools, vctrs, xfun, xml2
Suggests: here, memoise, testthat (>= 2.1.0), roxygen2, showtext
SystemRequirements: The function render() requires Pandoc
Author: Andrew B. Collier [aut, cre, cph],

stringi, stringr, tidyr, urltools, vctrs, xfun, xml2
Suggests: cld2, cld3, gpg, here, memoise, testthat (>= 2.1.0),
(http://pandoc.org). To use PGP/GnuPG encryption requires gpg.

htmltools, httr, logger, magrittr (>= 2.0.1), mime, purrr,
rmarkdown, rvest, stringi, stringr, tidyr, urltools, xfun, xml2
Suggests: cld2, cld3, gpg, here, jinjar, lintr, memoise, testthat (>=

rvest, stringi, stringr, tidyr, urltools, xfun, xml2
Suggests: cld2, cld3, gpg, here, jinjar, memoise, testthat (>= 2.1.0),

Package: emba
Type: Package
Title: Ensemble Boolean Model Biomarker Analysis
Version: 0.1.1
Authors@R: person("John", "Zobolas", role = c("aut", "cph", "cre"),
email = "bblodfon@gmail.com", comment = c(ORCID = "0000-0002-3609-8674"))
Description: Analysis and visualization of an ensemble of boolean models for
biomarker discovery in cancer cell networks. The package allows to easily
import the data results of a software pipeline that predicts synergistic drug
combinations in cancer cell lines, developed by the DrugLogics research group
in NTNU. It has generic functions that can be used to split a boolean model
dataset to model groups with regards to the models predictive performance (number of true
positive predictions or Matthews correlation coefficient score) or synergy prediction based on a given set
of observed synergies and find the average activity difference per network
node between all group pairs. Thus, given user-specific thresholds,
important nodes (biomarkers) can be accessed in the sense that they make the
models predict specific synergies (synergy biomarkers) or have better
performance in general (performance biomarkers). Lastly, if the
boolean models have a specific equation form and differ only in their link operator,
link operator biomarkers can also be assessed.
License: MIT + file LICENSE
URL: https://github.com/bblodfon/emba
BugReports: https://github.com/bblodfon/emba/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: graphics, grDevices, utils, rje (>= 1.9), igraph (>= 1.2.4),
visNetwork (>= 2.0.7), Ckmeans.1d.dp (>= 4.2.2), magrittr (>=
1.5), usefun (>= 0.4.1)
Suggests: testthat
NeedsCompilation: no
Packaged: 2019-10-18 14:20:45 UTC; john
Author: John Zobolas [aut, cph, cre] (<https://orcid.org/0000-0002-3609-8674>)
Maintainer: John Zobolas <bblodfon@gmail.com>
Repository: CRAN
Date/Publication: 2019-10-21 14:30:02 UTC