r-bioc-biocneighbors
Nearest Neighbor Detection for Bioconductor Packages
Implements exact and approximate methods for nearest neighbor
detection, in a framework that allows them to be easily switched within
Bioconductor packages or workflows. Exact searches can be performed using
the k-means for k-nearest neighbors algorithm or with vantage point trees.
Approximate searches can be performed using the Annoy or HNSW libraries.
Searching on either Euclidean or Manhattan distances is supported.
Parallelization is achieved for all methods by using BiocParallel. Functions
are also provided to search for all neighbors within a given distance.
libn32gomp1-mipsr6-cross
GCC OpenMP (GOMP) support library (n32)
GOMP is an implementation of OpenMP for the C, C++, and Fortran compilers
in the GNU Compiler Collection.
r-bioc-singler
BioConductor reference-based single-cell RNA-Seq annotation
Performs unbiased cell type recognition from single-cell RNA
sequencing data, by leveraging reference transcriptomic datasets of pure cell
types to infer the cell of origin of each single cell independently.
libparsington-java
mathematical expression parser for Java
Parsington is an infix-to-postfix (or infix-to-syntax-tree) expression
parser for mathematical expressions written in Java. It is simple yet
fancy, handling (customizable) operators, functions, variables and
constants in a similar way to what the Java language itself supports.
r-cran-ddrtree
GNU R learning principal graphs with DDRTree
Provides an implementation of the framework of reversed graph embedding
(RGE) which projects data into a reduced dimensional space while
constructs a principal tree which passes through the middle of the data
simultaneously. DDRTree shows superiority to alternatives (Wishbone,
DPT) for inferring the ordering as well as the intrinsic structure of
the single cell genomics data. In general, it could be used to
reconstruct the temporal progression as well as bifurcation structure of
any datatype.
r-cran-upsetr
GNU R visualization of intersecting sets
Creates visualizations of intersecting sets using a novel matrix
design, along with visualizations of several common set, element and attribute
related tasks.