Description: An automatic cell type detection and assignment algorithm for single cell RNA-Seq and Cytof/FACS data. 'SCINA' is capable of assigning cell type identities to a pool of cells profiled by scRNA-Seq or Cytof/FACS data with prior knowledge of markers, such as genes and protein symbols that are highly or lowly expressed in each category. See Zhang Z, et al (2019) <doi:10.3390/genes10070531> for more details.

Description: A package for probability combining (additive and
multiplicative method) and for calculating some effect size
measures on single-case data (SMD, PND and PEM).

Description: An R package for single-case meta-analysis.

Description: Perform meta-analysis of single-case experiments, including calculating various effect size measures (SMD, PND, PEM and NAP) and probability combining (additive and multiplicative method).

Description: Perform meta-analysis of single-case experiments, including calculating various effect size measures (SMD, PND and PEM) and probability combining (additive and multiplicative method).

Description: Perform meta-analysis of single-case experiments, including calculating various effect size measures (SMD, PND, PEM and NAP) and probability combining (additive and multiplicative method), as discussed in Bulte and Onghena (2013) <doi:10.22237/jmasm/1383280020>.

Author: Isis Bulte, Tamal Kumar De, Patrick Onghena

Title: Score Projection Between in 'Vivo' and in 'Vitro' Datasets
Description: Assigns a score projection from 0 to 1 between a given in 'vivo' stage and each single cluster from an in 'vitro' dataset. The score is assigned based on the the fraction of specific markers of the in 'vivo' stage that are conserved in the in 'vitro' clusters <https://github.com/ScialdoneLab>.
Suggests: CIARA, rmarkdown, testthat (>= 3.0.0), knitr
Packaged: 2022-08-22 12:38:41 UTC; gabriele.lubatti

Title: Spherically Constrained Optimization Routine
person("Priyam","Das", ,"pdas@ncsu.edu" , role = "aut")
Imports: doParallel, foreach, iterators, parallel
Collate: 'imports.R' 'biomarker.R' 'SHUM.R' 'EHUM.R' 'ULBA.R' 'SCOR.R'
Description: A non-convex optimization package that optimizes any function under the criterion, combination of
variables are on the surface of a unit sphere, as described in the paper : Das et al. (2019) <arXiv:1909.04024> .