r-bioc-mofa2

Multi-Omics Factor Analysis v2

The MOFA2 package contains a collection of tools for training and analysing multi-omic factor analysis (MOFA). MOFA is a probabilistic factor model that aims to identify principal axes of variation from data sets that can comprise multiple omic layers and/or groups of samples. Additional time or space information on the samples can be incorporated using the MEFISTO framework, which is part of MOFA2. Downstream analysis functions to inspect molecular features underlying each factor, vizualisation, imputation etc are available.

python3-jupyter-events

Configurable event system for Jupyter applications and extensions.

Jupyter Events is a configurable event system that enables Jupyter Python Applications (e.g. Jupyter Server, JupyterLab Server, JupyterHub, etc.) to emit events-structured data describing things happening inside the application. Other software (e.g. client applications like JupyterLab) can listen and respond to these events.

cpp-loongarch64-linux-gnu

GNU C preprocessor (cpp) for the loong64 architecture

The GNU C preprocessor is a macro processor that is used automatically by the GNU C compiler to transform programs before actual compilation.

g++-loongarch64-linux-gnu

GNU C++ compiler for the loong64 architecture

This is the GNU C++ compiler, a fairly portable optimizing compiler for C++.

lazarus-3.6

IDE for Free Pascal - suite

Lazarus is an IDE to create (graphical and console) applications with Free Pascal, the (L)GPLed Pascal and Object Pascal compiler that runs on Windows, Linux, Mac OS X, FreeBSD and more.

libbasix0.8

Finite Element Basis Function Definition Runtime Library (Python 3)

Computes FE basis functions and derivatives for the following elements: - Lagrange (interval, triangle, tetrahedron, prism, pyramid, quadrilateral, hexahedron) - Nédélec (triangle, tetrahedron) - Nédélec Second Kind (triangle, tetrahedron) - Raviart-Thomas (triangle, tetrahedron) - Regge (triangle, tetrahedron) - Crouzeix-Raviart (triangle, tetrahedron)