External jars required for package Myrrix.
External jars required for package Myrrix. Myrrix is a
recommendation engine

External jars required for package 'Myrrix'. 'Myrrix' is a recommendation engine.

Handling Methods for Naver News Text Crawling
person(given = "Chanyub",
family = "Park",
role = c("aut","cre"),
email = "mrchypark@gmail.com",
comment = c(ORCID = "0000-0001-6474-2570"))
Provides some functions to get Korean text sample from news articles in
Naver which is popular news portal service <https://news.naver.com/> in Korea.
xml2, rvest, httr, jsonlite, tidyr, tibble, dplyr, lubridate

rvest, httr, jsonlite, tibble, dplyr, lubridate, urltools

rvest, httr, jsonlite, tibble, dplyr, urltools, methods

rvest, httr, jsonlite, tibble, dplyr, urltools

rvest, jsonlite, tibble, purrr, httr2, magrittr, rappdirs

rvest, jsonlite, tibble, purrr, httr2, magrittr

Fast and Scalable Approximate k-Nearest Neighbor Search Methods
using 'N2' Library
c(person("Peter", "Kharchenko", email = "Peter_Kharchenko@hms.harvard.edu", role = c("aut")), person("Viktor", "Petukhov", email = "viktor.s.petukhov@ya.ru", role = c("aut")), person("Dirk", "Eddelbuettel", email="edd@debian.org", role=c("ctb")), person("Evan", "Biederstedt", email = "evan.biederstedt@gmail.com", role=c("cre", "aut")))
Implements methods to perform fast approximate K-nearest neighbor search on input matrix. Algorithm based on the 'N2' implementation of an approximate nearest neighbor search using hierarchical  Navigable Small World (NSW) graphs. The original algorithm is described in "Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs", Y. Malkov and D. Yashunin, <doi:10.1109/TPAMI.2018.2889473>, <arXiv:1603.09320>.
See the file COPYRIGHTS for various Eigen copyright details
Peter Kharchenko [aut],
Viktor Petukhov [aut],
Dirk Eddelbuettel [ctb],
Evan Biederstedt [cre, aut]

See the file COPYRIGHTS for various N2R copyright details

c(
person(given = "Mickaël", family = "Canouil", role = c("aut", "cre"), email = "mickael.canouil@cnrs.fr",
comment = c(ORCID = "0000-0002-3396-4549")
),
person(given = "Roderick", family = "Slieker", role = "aut", email = "R.C.Slieker@lumc.nl",
comment = c(ORCID = "0000-0003-0961-9152")
),
person(given = "Gerard", family = "Bouland", role = "aut", email = "G.A.Bouland@lumc.nl")
)
NanoString nCounter data are gene expression assays where there is no need for the use of enzymes
or amplification protocols and work with fluorescent barcodes (Geiss et al. (2018) <doi:10.1038/nbt1385>).
Each barcode is assigned a messenger-RNA/micro-RNA (mRNA/miRNA) which after bonding with its target can be counted.
As a result each count of a specific barcode represents the presence of its target mRNA/miRNA.
'NACHO' (NAnoString quality Control dasHbOard) is able to analyse the exported NanoString nCounter
data and facilitates the user in performing a quality control.
'NACHO' does this by visualising quality control metrics, expression of control genes,
principal components and sample specific size factors in an interactive web application.
tibble, dplyr, tidyr, purrr, shiny, scales, ggplot2,
ggbeeswarm, ggrepel, ggpubr, gtools
covr, Biobase, GEOquery, utils, sessioninfo, knitr,
rmarkdown, testthat
Mickaël Canouil [aut, cre] (<https://orcid.org/0000-0002-3396-4549>),
Roderick Slieker [aut] (<https://orcid.org/0000-0003-0961-9152>),
Gerard Bouland [aut]