|
r-magrene
|
1.6.0-1 |
0 |
0.00
|
Motif Analysis In Gene Regulatory Networks |
pekkarr
|
2024-05-02 05:20 (UTC) |
|
r-lionessr
|
1.18.0-1 |
0 |
0.00
|
Modeling networks for individual samples using LIONESS |
BioArchLinuxBot
|
2024-05-02 19:09 (UTC) |
|
r-linkcomm
|
1.0.14-4 |
0 |
0.00
|
Tools for Generating, Visualizing, and Analysing Link Communities in Networks |
BioArchLinuxBot
|
2022-06-06 06:06 (UTC) |
|
r-kboost
|
1.12.0-1 |
0 |
0.00
|
Inference of gene regulatory networks from gene expression data |
BioArchLinuxBot
|
2024-05-02 03:34 (UTC) |
|
r-irisfgm
|
1.8.0-2 |
0 |
0.00
|
Comprehensive Analysis of Gene Interactivity Networks Based on Single-Cell RNA-Seq |
BioArchLinuxBot
|
2024-02-11 12:07 (UTC) |
|
r-intomics
|
1.2.0-2 |
0 |
0.00
|
Integrative analysis of multi-omics data to infer regulatory networks |
pekkarr
|
2024-04-27 07:08 (UTC) |
|
r-gsean
|
1.24.0-1 |
0 |
0.00
|
Gene Set Enrichment Analysis with Networks |
BioArchLinuxBot
|
2024-05-03 00:37 (UTC) |
|
r-granie
|
1.6.1-4 |
0 |
0.00
|
Reconstruction cell type specific gene regulatory networks including enhancers using chromatin accessibility and RNA-seq data |
pekkarr
|
2024-04-27 22:06 (UTC) |
|
r-grain
|
1.4.1-1 |
0 |
0.00
|
Graphical Independence Networks |
BioArchLinuxBot
|
2023-11-21 18:03 (UTC) |
|
r-gnet2
|
1.20.0-1 |
0 |
0.00
|
Constructing gene regulatory networks from expression data through functional module inference |
BioArchLinuxBot
|
2024-05-02 19:31 (UTC) |
|
r-ggnetwork
|
0.5.13-1 |
0 |
0.00
|
Geometries to Plot Networks with 'ggplot2' |
BioArchLinuxBot
|
2024-02-14 12:06 (UTC) |
|
r-genetclassifier
|
1.44.0-1 |
0 |
0.00
|
Classify diseases and build associated gene networks using gene expression profiles |
BioArchLinuxBot
|
2024-05-01 18:43 (UTC) |
|
r-genenet
|
1.2.16-8 |
0 |
0.00
|
Modeling and Inferring Gene Networks |
BioArchLinuxBot
|
2024-04-25 03:43 (UTC) |
|
r-fgnet
|
3.38.0-1 |
0 |
0.00
|
Functional Gene Networks derived from biological enrichment analyses |
BioArchLinuxBot
|
2024-05-01 21:29 (UTC) |
|
r-fcoex
|
1.13.0-2 |
0 |
0.00
|
FCBF-based Co-Expression Networks for Single Cells |
BioArchLinuxBot
|
2024-02-11 12:08 (UTC) |
|
r-enrichviewnet
|
1.0.0-3 |
0 |
0.00
|
From functional enrichment results to biological networks |
pekkarr
|
2024-04-26 19:09 (UTC) |
|
r-elmer
|
2.28.0-1 |
0 |
0.00
|
Inferring Regulatory Element Landscapes and Transcription Factor Networks Using Cancer Methylomes |
BioArchLinuxBot
|
2024-05-03 09:16 (UTC) |
|
r-drivernet
|
1.44.0-1 |
0 |
0.00
|
uncovering somatic driver mutations modulating transcriptional networks in cancer |
BioArchLinuxBot
|
2024-05-02 04:21 (UTC) |
|
r-diffustats
|
1.24.0-1 |
0 |
0.00
|
Diffusion scores on biological networks |
BioArchLinuxBot
|
2024-05-02 05:36 (UTC) |
|
r-diffcorr
|
0.4.3-1 |
0 |
0.00
|
Analyzing and Visualizing Differential Correlation Networks in Biological Data |
BioArchLinuxBot
|
2023-08-25 12:10 (UTC) |
|
r-diagram
|
1.6.5-7 |
0 |
0.00
|
Functions for Visualising Simple Graphs (Networks), Plotting Flow Diagrams |
BioArchLinuxBot
|
2024-04-12 12:06 (UTC) |
|
r-deeppincs
|
1.12.0-1 |
0 |
0.00
|
Protein Interactions and Networks with Compounds based on Sequences using Deep Learning |
BioArchLinuxBot
|
2024-05-01 23:59 (UTC) |
|
r-coregnet
|
1.38.0-2 |
0 |
0.00
|
reconstruction and integrated analysis of co-regulatory networks |
BioArchLinuxBot
|
2024-02-12 12:06 (UTC) |
|
r-coexnet
|
1.19.1-4 |
0 |
0.00
|
coexnet: An R package to build CO-EXpression NETworks from Microarray Data |
BioArchLinuxBot
|
2023-04-29 05:18 (UTC) |
|
r-cispath
|
1.42.0-2 |
0 |
0.00
|
Visualization and management of the protein-protein interaction networks |
BioArchLinuxBot
|
2024-03-18 18:05 (UTC) |
|
r-cellnoptr
|
1.50.0-1 |
0 |
0.00
|
Training of boolean logic models of signalling networks using prior knowledge networks and perturbation data |
BioArchLinuxBot
|
2024-05-01 21:19 (UTC) |
|
r-c3net
|
1.1.1.1-1 |
0 |
0.00
|
Infering large-scale gene networks with C3NET |
BioArchLinuxBot
|
2022-06-24 18:22 (UTC) |
|
r-boolnet
|
2.1.9-1 |
0 |
0.00
|
Construction, Simulation and Analysis of Boolean Networks |
BioArchLinuxBot
|
2023-10-02 18:03 (UTC) |
|
r-blockmodeling
|
1.1.5-2 |
0 |
0.00
|
Generalized and Classical Blockmodeling of Valued Networks |
BioArchLinuxBot
|
2024-02-19 18:03 (UTC) |
|
r-bionet
|
1.64.0-1 |
0 |
0.00
|
Routines for the functional analysis of biological networks |
BioArchLinuxBot
|
2024-05-02 01:37 (UTC) |
|
r-amountain
|
1.30.0-1 |
0 |
0.00
|
Active modules for multilayer weighted gene co-expression networks: a continuous optimization approach |
BioArchLinuxBot
|
2024-05-02 03:12 (UTC) |
|
python-spflow
|
0.0.41-1 |
0 |
0.00
|
Sum-Product Flow: An Easy and Extensible Library for Sum-Product Networks |
RenatoLG
|
2020-12-21 19:43 (UTC) |
|
python-segmentation-models-pytorch
|
0.3.2-1 |
0 |
0.00
|
Neural Networks for Image Segmentation based on PyTorch |
piernov
|
2023-05-04 09:40 (UTC) |
|
python-qualia-plugin-snn
|
2.2.0-1 |
0 |
0.00
|
Support for Spiking Neural Networks in Qualia |
piernov
|
2024-03-01 13:43 (UTC) |
|
python-qualia-core
|
2.2.0-1 |
0 |
0.00
|
End-to-end training, quantization and deployment framework for deep neural networks on microcontrollers. |
piernov
|
2024-03-01 13:43 (UTC) |
|
python-qualia-codegen-plugin-snn
|
2.1.0-1 |
0 |
0.00
|
Support for Spiking Neural Networks in Qualia-CodeGen |
piernov
|
2024-01-16 15:36 (UTC) |
|
python-pytorch-rocm-bin
|
2.3.0-2 |
0 |
0.00
|
Tensors and Dynamic neural networks in Python with strong GPU acceleration (binary release) |
trougnouf
|
2024-05-02 14:09 (UTC) |
|
python-pytorch-ignite-git
|
0.1.0.r39.g9e9d9b9-2 |
0 |
0.00
|
High-level library to help with training neural networks in PyTorch |
m-pilia
|
2018-10-09 07:52 (UTC) |
|
python-pytorch-cxx11abi
|
2.2.2-1 |
0 |
0.00
|
Tensors and Dynamic neural networks in Python with strong GPU acceleration (with CXX11 ABI) |
daizhirui
|
2024-04-01 19:15 (UTC) |
|
python-pytorch-cxx11abi-opt
|
2.2.2-1 |
0 |
0.00
|
Tensors and Dynamic neural networks in Python with strong GPU acceleration (with CXX11 ABI) (with AVX2 CPU optimizations) |
daizhirui
|
2024-04-01 19:15 (UTC) |
|
python-pytorch-cxx11abi-cuda
|
2.2.2-1 |
0 |
0.00
|
Tensors and Dynamic neural networks in Python with strong GPU acceleration (with CXX11 ABI) (with CUDA) |
daizhirui
|
2024-04-01 19:15 (UTC) |
|
python-pytorch-cxx11abi-opt-cuda
|
2.2.2-1 |
0 |
0.00
|
Tensors and Dynamic neural networks in Python with strong GPU acceleration (with CXX11 ABI) (with CUDA and AVX2 CPU optimizations) |
daizhirui
|
2024-04-01 19:15 (UTC) |
|
python-pytorch-cxx11abi-rocm
|
2.2.2-1 |
0 |
0.00
|
Tensors and Dynamic neural networks in Python with strong GPU acceleration (with CXX11 ABI) (with ROCm) |
daizhirui
|
2024-04-01 19:15 (UTC) |
|
python-pytorch-cxx11abi-opt-rocm
|
2.2.2-1 |
0 |
0.00
|
Tensors and Dynamic neural networks in Python with strong GPU acceleration (with CXX11 ABI) (with ROCm and AVX2 CPU optimizations) |
daizhirui
|
2024-04-01 19:15 (UTC) |
|
python-ptflops
|
0.6.9-1 |
0 |
0.00
|
Flops counter for convolutional networks in pytorch framework |
trougnouf
|
2023-04-12 12:40 (UTC) |
|
python-pina-mathlab
|
0.1.0.post2404-1 |
0 |
0.00
|
Physics-Informed Neural networks for Advanced modeling |
carlosal1015
|
2024-04-02 22:52 (UTC) |
|
python-pathpy-git
|
r432.fa06dc5-1 |
0 |
0.00
|
Analysis of time series data on networks with higher- and multi-order graphical models |
orphan
|
2019-02-25 15:28 (UTC) |
|
python-nntoolkit
|
0.2.2-1 |
0 |
0.00
|
Toolkit to train neural networks |
anakojm
|
2024-04-22 21:48 (UTC) |
|
python-neurodiffeq
|
0.6.3-1 |
0 |
0.00
|
A light-weight & flexible library for solving differential equations using neural networks based on PyTorch |
carlosal1015
|
2024-01-04 17:20 (UTC) |
|
python-neupy
|
0.8.2-1 |
0 |
0.00
|
A Tensorflow based python library for prototyping and building neural networks |
piernov
|
2019-06-27 09:00 (UTC) |