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r-networkcomparisontest
|
2.2.2-1 |
0 |
0.00
|
Statistical Comparison of Two Networks Based on Several Invariance Measures |
BioArchLinuxBot
|
2023-09-02 12:01 (UTC) |
|
r-multiwgcna
|
1.0.0-3 |
0 |
0.00
|
An R package for deeping mining gene co-expression networks in multi-trait expression data |
pekkarr
|
2023-12-15 12:53 (UTC) |
|
r-mogamun
|
1.12.0-1 |
0 |
0.00
|
MOGAMUN: A Multi-Objective Genetic Algorithm to Find Active Modules in Multiplex Biological Networks |
BioArchLinuxBot
|
2023-10-26 01:05 (UTC) |
|
r-minet
|
3.60.0-2 |
0 |
0.00
|
Mutual Information NETworks |
BioArchLinuxBot
|
2024-04-11 18:18 (UTC) |
|
r-metnet
|
1.20.0-1 |
0 |
0.00
|
Inferring metabolic networks from untargeted high-resolution mass spectrometry data |
BioArchLinuxBot
|
2023-10-27 06:55 (UTC) |
|
r-martini
|
1.22.0-1 |
0 |
0.00
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GWAS Incorporating Networks |
BioArchLinuxBot
|
2023-10-26 00:18 (UTC) |
|
r-magrene
|
1.4.0-1 |
0 |
0.00
|
Motif Analysis In Gene Regulatory Networks |
pekkarr
|
2023-12-01 11:29 (UTC) |
|
r-lionessr
|
1.16.0-1 |
0 |
0.00
|
Modeling networks for individual samples using LIONESS |
BioArchLinuxBot
|
2023-10-27 06:21 (UTC) |
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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
|
1.10.0-2 |
0 |
0.00
|
Inference of gene regulatory networks from gene expression data |
BioArchLinuxBot
|
2024-03-29 18:06 (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
|
1.2.0-1 |
0 |
0.00
|
Integrative analysis of multi-omics data to infer regulatory networks |
pekkarr
|
2023-10-28 14:47 (UTC) |
|
r-gsean
|
1.22.0-3 |
0 |
0.00
|
Gene Set Enrichment Analysis with Networks |
BioArchLinuxBot
|
2023-10-28 13:40 (UTC) |
|
r-granie
|
1.6.1-3 |
0 |
0.00
|
Reconstruction cell type specific gene regulatory networks including enhancers using chromatin accessibility and RNA-seq data |
pekkarr
|
2023-12-15 12:50 (UTC) |
|
r-grain
|
1.4.1-1 |
0 |
0.00
|
Graphical Independence Networks |
BioArchLinuxBot
|
2023-11-21 18:03 (UTC) |
|
r-gnet2
|
1.18.0-1 |
0 |
0.00
|
Constructing gene regulatory networks from expression data through functional module inference |
BioArchLinuxBot
|
2023-10-28 12:50 (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
|
1.42.0-1 |
0 |
0.00
|
Classify diseases and build associated gene networks using gene expression profiles |
BioArchLinuxBot
|
2023-10-26 00:48 (UTC) |
|
r-genenet
|
1.2.16-7 |
0 |
0.00
|
Modeling and Inferring Gene Networks |
BioArchLinuxBot
|
2023-07-16 00:02 (UTC) |
|
r-fgnet
|
3.36.0-1 |
0 |
0.00
|
Functional Gene Networks derived from biological enrichment analyses |
BioArchLinuxBot
|
2023-10-25 23:59 (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
|
1.0.0-1 |
0 |
0.00
|
From functional enrichment results to biological networks |
pekkarr
|
2023-11-23 19:21 (UTC) |
|
r-elmer
|
2.26.0-1 |
0 |
0.00
|
Inferring Regulatory Element Landscapes and Transcription Factor Networks Using Cancer Methylomes |
BioArchLinuxBot
|
2023-10-27 14:57 (UTC) |
|
r-drivernet
|
1.42.0-2 |
0 |
0.00
|
uncovering somatic driver mutations modulating transcriptional networks in cancer |
BioArchLinuxBot
|
2024-03-27 18:01 (UTC) |
|
r-diffustats
|
1.22.0-3 |
0 |
0.00
|
Diffusion scores on biological networks |
BioArchLinuxBot
|
2024-02-08 12:19 (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
|
1.10.0-1 |
0 |
0.00
|
Protein Interactions and Networks with Compounds based on Sequences using Deep Learning |
BioArchLinuxBot
|
2023-10-26 01:25 (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
|
1.48.0-1 |
0 |
0.00
|
Training of boolean logic models of signalling networks using prior knowledge networks and perturbation data |
BioArchLinuxBot
|
2023-10-26 00:58 (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
|
1.62.0-1 |
0 |
0.00
|
Routines for the functional analysis of biological networks |
BioArchLinuxBot
|
2023-10-26 04:17 (UTC) |
|
r-amountain
|
1.28.0-2 |
0 |
0.00
|
Active modules for multilayer weighted gene co-expression networks: a continuous optimization approach |
BioArchLinuxBot
|
2024-03-12 18:04 (UTC) |
|
python-transwhat
|
1:0.2.2-1 |
1 |
0.00
|
A gateway between the XMPP and the WhatsApp IM networks |
orphan
|
2020-08-20 11:38 (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-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-git
|
1.3.1.r22820.1350b99de4-1 |
2 |
0.00
|
Tensors and Dynamic neural networks in Python with strong GPU acceleration |
VitalyR
|
2019-11-28 13:10 (UTC) |
|
python-pytorch-mkl-git
|
1.3.1.r22820.1350b99de4-1 |
2 |
0.00
|
Tensors and Dynamic neural networks in Python with strong GPU acceleration (with MKL-DNN) |
VitalyR
|
2019-11-28 13:10 (UTC) |
|
python-pytorch-cuda-git
|
1.3.1.r22820.1350b99de4-1 |
2 |
0.00
|
Tensors and Dynamic neural networks in Python with strong GPU acceleration (with CUDA) |
VitalyR
|
2019-11-28 13:10 (UTC) |
|
python-pytorch-mkl-cuda-git
|
1.3.1.r22820.1350b99de4-1 |
2 |
0.00
|
Tensors and Dynamic neural networks in Python with strong GPU acceleration (with CUDA and MKL-DNN) |
VitalyR
|
2019-11-28 13:10 (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) |