Superzchen / iLearnLinks
iLearn, a Python Toolkit and Web Server Integrating the Functionality of Feature Calculation, Extraction, Clustering, Feature Selection, Feature Normalization, Dimension Reduction and Model Construction for Classification, Best Model Selection, Ensemble Learning and Result Visualization for DNA, RNA and Protein Sequences.
☆84Updated 3 years ago
Alternatives and similar repositories for iLearn
Users that are interested in iLearn are comparing it to the libraries listed below
Sorting:
- iFeature is a comprehensive Python-based toolkit for generating various numerical feature representation schemes from protein or peptide …☆191Updated 3 years ago
- A Python-based Effective Feature Generation Tool from DNA, RNA, and Protein Sequences☆97Updated 3 years ago
- [Nat. Commun.] Code for paper 'Attention-based multi-label neural networks for integrated prediction and interpretation of twelve widely …☆32Updated 3 years ago
- iLearnPlus is the first machine-learning platform with both graphical- and web-based user interface that enables the construction of auto…☆114Updated last year
- A repository for neural representational learning of RNA secondary structures☆32Updated 5 years ago
- Protein sequence classification with self-supervised pretraining☆82Updated 3 years ago
- Multi-task and masked language model-based protein sequence embedding models.☆102Updated 4 years ago
- RNA Secondary Structure Prediction using an Ensemble of Two-dimensional Deep Neural Networks and Transfer Learning.☆106Updated 3 months ago
- Collecting AMP MIC data from different sources, then running a GAN to output promising sequences☆80Updated last year
- Function prediction using a deep ontology-aware classifier☆84Updated 2 years ago
- Modelling the Language of Life - Deep Learning Protein Sequences☆74Updated 4 years ago
- A deep learning framework for high-throughput mechanism-driven phenotype screening☆50Updated 4 years ago
- Interpretation by Deep Generative Masking for Biological Sequences☆37Updated 3 years ago
- ☆110Updated 3 years ago
- Deep-learning empowered prediction and generation of immunogenic epitopes for T cell immunity☆72Updated 2 years ago
- A Python package for extracting protein sequence features☆59Updated 3 years ago
- ☆22Updated 2 years ago
- Feature Extraction Package for Biological Sequences☆64Updated 2 months ago
- A structure-aware interpretable deep learning model for sequence-based prediction of protein-protein interactions☆104Updated last week
- MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction☆55Updated 4 years ago
- DeepTTC: a transformer-based model for predicting cancer drug response☆16Updated 2 years ago
- ☆21Updated 2 years ago
- ☆48Updated 3 years ago
- A PyTorch implementation of GCN with mutual attention for protein-protein interaction prediction☆61Updated 4 years ago
- Modelling the Language of Life - Deep Learning Protein Sequences☆119Updated 5 years ago
- iFeatureOmega is a comprehensive platform for generating, analyzing and visualizing more than 170 representations for biological sequence…☆34Updated 2 years ago
- Neural networks for deep mutational scanning data☆69Updated 3 months ago
- Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."☆70Updated last year
- ☆36Updated last year
- Amino Acid Embedding Representation as Machine Learning Features☆19Updated 7 years ago