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.
☆85Jul 20, 2022Updated 3 years ago
Alternatives and similar repositories for iLearn
Users that are interested in iLearn are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- iFeature is a comprehensive Python-based toolkit for generating various numerical feature representation schemes from protein or peptide …☆195May 23, 2022Updated 4 years ago
- iLearnPlus is the first machine-learning platform with both graphical- and web-based user interface that enables the construction of auto…☆127Apr 15, 2024Updated 2 years ago
- A Python-based Effective Feature Generation Tool from DNA, RNA, and Protein Sequences☆97Aug 14, 2022Updated 3 years ago
- A software package for computing features of peptides and proteins☆66May 8, 2026Updated last month
- Feature Extraction Package for Biological Sequences☆65Nov 3, 2025Updated 7 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- machine learning, molecular descriptor☆120Apr 10, 2023Updated 3 years ago
- A deep learning-based lncRNA subcellular localization predictor☆16Aug 17, 2022Updated 3 years ago
- Anti-Cancer Peptide Prediction with Deep Representation Learning Features☆11Jan 27, 2021Updated 5 years ago
- iDeepV: predicting RBP binding sites using vector representation learned from sequences with a CNN.☆10Jul 16, 2019Updated 6 years ago
- Predict prokaryotic hosts for phage (meta) genomic sequences☆11Apr 4, 2022Updated 4 years ago
- Optimizing blood-brain barrier permeation through Deep Reinforcement Learning for de novo drug design☆14Apr 22, 2021Updated 5 years ago
- BioSeq-BLM: a platform for analyzing DNA, RNA and protein sequences based on biological language models☆14Aug 21, 2022Updated 3 years ago
- Deep learning protein-protein binding sites prediction☆23Feb 2, 2023Updated 3 years ago
- A hierarchical deep learning framework for ncRNA-protein interaction prediction.☆14Nov 25, 2022Updated 3 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ProFET: Protein Feature Engineering Toolkit for Machine Learning☆57Sep 14, 2015Updated 10 years ago
- A new approach for representing biological sequences☆101Sep 14, 2024Updated last year
- LncADeep is an ab initio lncRNA identification and functional annotation tool based on deep learning☆29Jun 4, 2018Updated 8 years ago
- generating various molecular representations for chemicals, proteins, DNAs/RNAs and their interactions.☆16Oct 19, 2019Updated 6 years ago
- RNA 3D structure prediction using multiple sequence alignment information docs @ http://EvoClustRNA.rtfd.io☆14Nov 3, 2022Updated 3 years ago
- ProNA2020: System predicting protein-DNA, protein-RNA and protein-protein binding sites from sequence☆14Aug 7, 2020Updated 5 years ago
- Tutorial on the usage of Rdkit, Pandas, sklearn, machine learning, descriptor calculation, etc.. in the context of bioactivity predictive…☆14Sep 28, 2014Updated 11 years ago
- ☆22Dec 15, 2022Updated 3 years ago
- GraphProt: modelling binding preferences of RNA-binding proteins☆21Jul 19, 2018Updated 7 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ResPRE is an algorithm for protein residue-residue contact-map prediction☆21May 20, 2019Updated 7 years ago
- A deep learning model to predict anticancer peptides.☆24Jul 10, 2019Updated 6 years ago
- Collects software dedicated to predicting specific properties of peptides☆68Dec 17, 2024Updated last year
- This project is meant to work as a template for a binary CNN classification problem☆13Dec 8, 2022Updated 3 years ago
- HoTS: Sequence-based prediction of binding regions and drug-target interactions.☆29Nov 6, 2022Updated 3 years ago
- Code and database related to our manuscript "Predicting bacteriophage hosts based on receptor-binding proteins"☆13Nov 2, 2023Updated 2 years ago
- ☆18Nov 24, 2019Updated 6 years ago
- ☆10Feb 6, 2021Updated 5 years ago
- ProtFeat is protein feature extraction tool that utilizes POSSUM and iFeature.☆20Sep 16, 2024Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Long short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.☆79Mar 25, 2023Updated 3 years ago
- ☆22Jun 10, 2024Updated 2 years ago
- ☆18Mar 16, 2019Updated 7 years ago
- POOL (Peptide Optimization with Optimal Learning): code for "Discovering de novo peptide substrates for enzymes using machine learning"☆10Oct 18, 2018Updated 7 years ago
- A Python 3 version of the protein descriptor package propy☆48Feb 8, 2023Updated 3 years ago
- ☆19Jan 17, 2025Updated last year
- A tool for accurate prediction of a protein's secondary structure from only it's amino acid sequence☆68Apr 2, 2025Updated last year