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)