mmpust's Stars
facebookresearch/esm
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
scikit-learn-contrib/boruta_py
Python implementations of the Boruta all-relevant feature selection method.
soedinglab/MMseqs2
MMseqs2: ultra fast and sensitive search and clustering suite
muhanzhang/pytorch_DGCNN
PyTorch implementation of DGCNN
cszhangzhen/HGP-SL
Hierarchical Graph Pooling with Structure Learning
GFNOrg/torchgfn
GFlowNet library
mims-harvard/GraphXAI
GraphXAI: Resource to support the development and evaluation of GNN explainers
aimat-lab/gcnn_keras
Graph convolutions in Keras with TensorFlow, PyTorch or Jax.
COMBINE-lab/pufferfish
An efficient index for the colored, compacted, de Bruijn graph
aqlaboratory/rgn2
qbxlvnf11/graph-neural-networks-for-graph-classification
Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification
kcleal/dysgu
Toolkit for calling structural variants using short or long reads
nd7141/graph_datasets
Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.
kisungyou/Rdimtools
Dimension Reduction and Estimation Methods
benedekrozemberczki/FEATHER
The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
BioinformaticsLabAtMUN/Promotech
Machine-learning-based general bacterial promoter prediction tool.
segalab/SGVFinder
kpmainali/CooccurrenceAffinity
Computes affinity between two entities based on their co-occurrence
medema-group/BiG-MAP
lukasjf/contrastive-gnn-explanation
xthua/bacant
This program is designed for annotation of antimicrobal resistance(AMR), transposon(Tn) and integron(In) in bacteria.
stat-lab/MOPline
Detection and genotyping of structural variants
EnvGen/toolbox
Various scripts used at the EnvGen group, directed towards metagenomic analysis.
pteridin/MIDASwrappeR
R wrapper around C++ implementation of MIDAS (Microcluster-Based Detector of Anomalies in Edge Streams)
benoslab/causalMGM
causalMGM is an R package that allow users to learn undirected and directed (causal) graphs over mixed data types (i.e., continuous and discrete variables).
biobakery/MTX_model
R package for differential expression analysis in metatranscriptomics
kuijjerlab/lionessR
Single sample network reconstruction in R
dvera/travis
Tools in R for the Analysis and Visualization of Intervals and Scores
michaelfop/mixggm
Mixtures of Gaussian graphical models for model-based clustering with sparse covariance and concentration matrices
shazzzm/nitk
Network Inference Toolkit