Chris Smith <csmith@platform.com> and
Gregory Warnes <gregory.r.warnes@pfizer.com>
This package provides functions for using R with the
LSF cluster/grid queuing system.

Chris Smith <csmith@platform.com> and
Gregory Warnes <warnes@bst.rochester.edu>

Chris Smith <csmith@platform.com>,
Gregory Warnes <warnes@bst.rochester.edu>,
Max Kuhn <max.kuhn@pfizer.com> and
Nathan Coulter <nathan.coulter@pfizer.com>

MAGIC - Markov Affinity-Based Graph Imputation of Cells
c(person(given = "David", family = "van Dijk", email = "davidvandijk@gmail.com", role = c("aut")),
person(given = 'Scott', family = 'Gigante', email = 'scott.gigante@yale.edu', role = 'cre', comment = c(ORCID = '0000-0002-4544-2764')))
MAGIC (Markov affinity-based graph imputation of cells) is a method for addressing technical noise in single-cell data, including under-sampling of mRNA molecules, often termed "dropout" which can severely obscure important gene-gene relationships. MAGIC shares information across similar cells, via data diffusion, to denoise the cell count matrix and fill in missing transcripts. Read more: van Dijk et al. (2018) <DOI:10.1016/j.cell.2018.05.061>.
methods, stats, reticulate (>= 1.4), ggplot2
David van Dijk [aut],
Scott Gigante [cre] (<https://orcid.org/0000-0002-4544-2764>)

c(person(given = "David", family = "van Dijk", email = "davidvandijk@gmail.com", role = c("aut")),
person(given = 'Scott', family = 'Gigante', email = 'scott.gigante@yale.edu', role = 'cre',
comment = c(ORCID = '0000-0002-4544-2764')))

Seurat (>= 3.0.0), readr, viridis, phateR

Continuous Optimization using Memetic Algorithms with Local
Search Chains (MA-LS-Chains) in R
Christoph Bergmeir, Daniel Molina, José M. Benítez
This package implements an algorithm family for continuous
optimization called memetic algorithms with local search chains
(MA-LS-Chains). Memetic algorithms are hybridizations of
genetic algorithms with local search methods. They are
especially suited for continuous optimization.

This package implements an algorithm family for continuous
optimization called memetic algorithms with local search chains
(MA-LS-Chains). Memetic algorithms are hybridizations of genetic
algorithms with local search methods. They are especially suited
for continuous optimization.