postgresql-17-plr

Procedural language interface between PostgreSQL and R

R is a language and environment for statistical computing and graphics, providing a wide variety of statistical and graphical techniques (linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, and so on).

python3-django-dynamic-fixture

create dynamic model instances for testing purposes (Python3 version)

Django Dynamic Fixture (DDF) is a complete and simple library to create dynamic model instances for testing purposes.

r-bioc-densvis

density-preserving data visualization via non-linear dimensionality reduction

Implements the density-preserving modification to t-SNE and UMAP described by Narayan et al. (2020) <doi:10.1101/2020.05.12.077776>. The non-linear dimensionality reduction techniques t-SNE and UMAP enable users to summarise complex high-dimensional sequencing data such as single cell RNAseq using lower dimensional representations. These lower dimensional representations enable the visualisation of discrete transcriptional states, as well as continuous trajectory (for example, in early development). However, these methods focus on the local neighbourhood structure of the data. In some cases, this results in misleading visualisations, where the density of cells in the low-dimensional embedding does not represent the transcriptional heterogeneity of data in the original high-dimensional space. den-SNE and densMAP aim to enable more accurate visual interpretation of high-dimensional datasets by producing lower-dimensional embeddings that accurately represent the heterogeneity of the original high-dimensional space, enabling the identification of homogeneous and heterogeneous cell states. This accuracy is accomplished by including in the optimisation process a term which considers the local density of points in the original high-dimensional space. This can help to create visualisations that are more representative of heterogeneity in the original high-dimensional space.

libkf6configgui6

configuration settings framework for Qt

KConfig provides an advanced configuration system. It is made of two parts: KConfigCore, KConfigGui and KConfigQml.

libsysprof-6-6

library for system-wide Linux profiler

Sysprof is a sampling CPU profiler that uses a ptrace in Linux kernel to profile the entire system, not just a single application. Sysprof handles shared libraries and applications do not need to be recompiled. In fact they don't even have to be restarted.

libkf6config-bin

configuration settings framework for Qt

KConfig provides an advanced configuration system. It is made of two parts: KConfigCore and KConfigGui.