Structural Bioinformatics and Computational Biology Lab
The group has vast knowledge in Artificial Intelligence, Machine Learning, Metaheuristics, and Massively Parallel Processing.
Institute of Infomatics - Federal University of Rio Grande do Sul - Porto Alegre - RS - Brazil
Pinned Repositories
CBCBrazilEcuador
confid
ConfID: an analytical method for conformational characterization of small molecules using molecular dynamics trajectories
dipole-charges-calculator
Least-Squares fit solution for the adjustment of charges while keeping the total dipole moment of a molecule.
GenExpFS
Evaluation and comparison of Feature Selection algorithms over gene expression microarray datasets
geva
Gene Expression Variation Analysis
Keras-CoDeepNEAT
CoDeepNEAT inspired implementation using Keras and Tensorflow as backend.
MOO-HFS
A framework for Multi-Objective Optimization of Hybrid Feature Selection.
NEAT-Microarray
Neuroevolution as a Tool for Microarray Gene Expression Pattern Identification in Cancer Research
RelAgg
Relevance aggregation for neural networks interpretability and knowledge discovery on tabular data
sampling-covid
Structural Bioinformatics and Computational Biology Lab's Repositories
sbcblab/Keras-CoDeepNEAT
CoDeepNEAT inspired implementation using Keras and Tensorflow as backend.
sbcblab/confid
ConfID: an analytical method for conformational characterization of small molecules using molecular dynamics trajectories
sbcblab/RelAgg
Relevance aggregation for neural networks interpretability and knowledge discovery on tabular data
sbcblab/NEAT-Microarray
Neuroevolution as a Tool for Microarray Gene Expression Pattern Identification in Cancer Research
sbcblab/dipole-charges-calculator
Least-Squares fit solution for the adjustment of charges while keeping the total dipole moment of a molecule.
sbcblab/geva
Gene Expression Variation Analysis
sbcblab/CBCBrazilEcuador
sbcblab/GenExpFS
Evaluation and comparison of Feature Selection algorithms over gene expression microarray datasets
sbcblab/MOO-HFS
A framework for Multi-Objective Optimization of Hybrid Feature Selection.
sbcblab/sampling-covid
sbcblab/candida-infection-pipeline
Transcriptomic analysis of long non-coding RNA during Candida albicans infection
sbcblab/EVO23-FBMP
sbcblab/microbialfunctions
Functional Response of Microbial Communities in Oil-Contaminated Marine Sediment
sbcblab/naturemachinelearning
sbcblab/website-v2
sbcblab/wtsne
sbcblab/advanced-review-fs-gene-expression
sbcblab/gpu-benchmarks
sbcblab/map-stroke-rs
sbcblab/MOWDEFS
sbcblab/template-slides-sbcb
Latex files for the official template for slides for the SBCB Lab.
sbcblab/weighted_tSNE
Visualization of Feature Scoring Algorithms with t-SNE