Showing 7 of total 7 results (show query)
bioc
ComplexHeatmap:Make Complex Heatmaps
Complex heatmaps are efficient to visualize associations between different sources of data sets and reveal potential patterns. Here the ComplexHeatmap package provides a highly flexible way to arrange multiple heatmaps and supports various annotation graphics.
Maintained by Zuguang Gu. Last updated 5 months ago.
softwarevisualizationsequencingclusteringcomplex-heatmapsheatmap
1.4k stars 16.94 score 16k scripts 155 dependents
dselivanov
text2vec:Modern Text Mining Framework for R
Fast and memory-friendly tools for text vectorization, topic modeling (LDA, LSA), word embeddings (GloVe), similarities. This package provides a source-agnostic streaming API, which allows researchers to perform analysis of collections of documents which are larger than available RAM. All core functions are parallelized to benefit from multicore machines.
Maintained by Dmitriy Selivanov. Last updated 8 months ago.
glovelatent-dirichlet-allocationnatural-language-processingtext-miningtopic-modelingvectorizationword-embeddingsword2veccpp
860 stars 13.48 score 1.3k scripts 23 dependentsbioc
genefilter:genefilter: methods for filtering genes from high-throughput experiments
Some basic functions for filtering genes.
Maintained by Bioconductor Package Maintainer. Last updated 5 months ago.
11.11 score 2.4k scripts 143 dependents
cran
flexclust:Flexible Cluster Algorithms
The main function kcca implements a general framework for k-centroids cluster analysis supporting arbitrary distance measures and centroid computation. Further cluster methods include hard competitive learning, neural gas, and QT clustering. There are numerous visualization methods for cluster results (neighborhood graphs, convex cluster hulls, barcharts of centroids, ...), and bootstrap methods for the analysis of cluster stability.
Maintained by Bettina Grün. Last updated 30 days ago.
3 stars 5.99 score 53 dependents
seewooli
IRTest:Parameter Estimation of Item Response Theory with Estimation of Latent Distribution
Item response theory (IRT) parameter estimation using marginal maximum likelihood and expectation-maximization algorithm (Bock & Aitkin, 1981 <doi:10.1007/BF02293801>). Within parameter estimation algorithm, several methods for latent distribution estimation are available. Reflecting some features of the true latent distribution, these latent distribution estimation methods can possibly enhance the estimation accuracy and free the normality assumption on the latent distribution.
Maintained by Seewoo Li. Last updated 1 months ago.
2 stars 5.04 score 8 scripts
jfrench
SpatialTools:Tools for Spatial Data Analysis
Tools for spatial data analysis. Emphasis on kriging. Provides functions for prediction and simulation. Intended to be relatively straightforward, fast, and flexible.
Maintained by Joshua French. Last updated 2 years ago.
2 stars 4.38 score 100 scripts 4 dependentscran
SNFtool:Similarity Network Fusion
Similarity Network Fusion takes multiple views of a network and fuses them together to construct an overall status matrix. The input to our algorithm can be feature vectors, pairwise distances, or pairwise similarities. The learned status matrix can then be used for retrieval, clustering, and classification.
Maintained by Benjamin Brew. Last updated 4 years ago.
19 stars 4.31 score 4 dependents