close

Showing 5 of total 5 results (show query)

selesnow

ryandexdirect:Load Data From 'Yandex Direct'

Load data from 'Yandex Direct' API V5 <https://yandex.ru/dev/direct/doc/dg/concepts/about-docpage> into R. Provide function for load lists of campaings, ads, keywords and other objects from 'Yandex Direct' account. Also you can load statistic from API 'Reports Service' <https://yandex.ru/dev/direct/doc/reports/reports-docpage>. And allows keyword bids management.

Maintained by Alexey Seleznev. Last updated 1 months ago.

campaignfilterlistwifi

11.0 match 53 stars 7.54 score 44 scripts 1 dependents

bioc

flowCore:flowCore: Basic structures for flow cytometry data

Provides S4 data structures and basic functions to deal with flow cytometry data.

Maintained by Mike Jiang. Last updated 5 months ago.

immunooncologyinfrastructureflowcytometrycellbasedassayscpp

5.6 match 10.34 score 1.7k scripts 59 dependents

bioc

ggcyto:Visualize Cytometry data with ggplot

With the dedicated fortify method implemented for flowSet, ncdfFlowSet and GatingSet classes, both raw and gated flow cytometry data can be plotted directly with ggplot. ggcyto wrapper and some customed layers also make it easy to add gates and population statistics to the plot.

Maintained by Mike Jiang. Last updated 5 months ago.

immunooncologyflowcytometrycellbasedassaysinfrastructurevisualization

1.8 match 58 stars 11.25 score 362 scripts 5 dependents

wraff

wrMisc:Analyze Experimental High-Throughput (Omics) Data

The efficient treatment and convenient analysis of experimental high-throughput (omics) data gets facilitated through this collection of diverse functions. Several functions address advanced object-conversions, like manipulating lists of lists or lists of arrays, reorganizing lists to arrays or into separate vectors, merging of multiple entries, etc. Another set of functions provides speed-optimized calculation of standard deviation (sd), coefficient of variance (CV) or standard error of the mean (SEM) for data in matrixes or means per line with respect to additional grouping (eg n groups of replicates). A group of functions facilitate dealing with non-redundant information, by indexing unique, adding counters to redundant or eliminating lines with respect redundancy in a given reference-column, etc. Help is provided to identify very closely matching numeric values to generate (partial) distance matrixes for very big data in a memory efficient manner or to reduce the complexity of large data-sets by combining very close values. Other functions help aligning a matrix or data.frame to a reference using partial matching or to mine an experimental setup to extract patterns of replicate samples. Many times large experimental datasets need some additional filtering, adequate functions are provided. Convenient data normalization is supported in various different modes, parameter estimation via permutations or boot-strap as well as flexible testing of multiple pair-wise combinations using the framework of 'limma' is provided, too. Batch reading (or writing) of sets of files and combining data to arrays is supported, too.

Maintained by Wolfgang Raffelsberger. Last updated 7 months ago.

3.3 match 4.44 score 33 scripts 4 dependents

bioc

openCyto:Hierarchical Gating Pipeline for flow cytometry data

This package is designed to facilitate the automated gating methods in sequential way to mimic the manual gating strategy.

Maintained by Mike Jiang. Last updated 5 months ago.

immunooncologyflowcytometrydataimportpreprocessingdatarepresentationcpp

1.9 match 7.62 score 404 scripts 1 dependents

: