LBBSoft / FeatureSelect
FeatureSelect
☆21Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for FeatureSelect
- DNN-DTIs: improved drug-target interactions prediction using XGBoost feature selection and deep neural network☆11Updated 3 years ago
- Feature selection problem is one of the most significant issues in data classification. The purpose of feature selection is selection of …☆10Updated 4 years ago
- ☆11Updated 5 years ago
- Hierarchical Embedding for Drugs☆15Updated 7 months ago
- ☆13Updated 2 years ago
- Some ideas on methods for comparing classification models☆10Updated 4 years ago
- Integrative orthogonal non-negative matrix factorization☆32Updated 5 years ago
- ☆24Updated 7 years ago
- GEDFN: Graph-Embedded Deep Feedforward Network☆23Updated 5 years ago
- Machine learning framework for predicting the responses of drug combinations in pre-clinical studies, such as those based on cell lines o…☆26Updated 4 years ago
- Matrix factorization and deep learning for molecular property prediction☆12Updated 5 years ago
- DNA Microarray Gene Expression Data Classification Using SVM and MLP with Feature Selection Methods Relief and LASSO☆28Updated 5 years ago
- Implements the blood brain barrier score described in: J. Med. Chem. 2019, 62, 21, 9824-9836 (https://doi.org/10.1021/acs.jmedchem.9b0122…☆12Updated 4 years ago
- Deep learning methods for feature selection in gene expression autism data.☆34Updated 2 years ago
- ☆14Updated 2 years ago
- Uncertainty quantification of molecular property prediction using Bayesian deep learning☆42Updated 5 years ago
- Prediction of protein-protein interaction sites using convolutional neural network and improved data sets☆8Updated 3 years ago
- Anticancer Peptide Identification employing Multi-headed Deep-CNN☆13Updated 3 years ago
- A toolbox for predicting miRNA-disease associations☆11Updated 7 years ago
- Chromatin Accessibility Prediction via Convolutional Long Short-Term Memory Networks with k-mer Embedding☆14Updated 6 years ago
- A Python interface to the Feature Selection Toolkit, contains JMI, BetaGamma, CMIM, CondMI, DISR, ICAP, and mRMR☆18Updated 10 years ago
- Source code and data for "Causal reasoning over knowledge graphs leveraging drug-perturbed and disease-specific transcriptomic signatures…☆13Updated 4 months ago
- iDeepV: predicting RBP binding sites using vector representation learned from sequences with a CNN.☆10Updated 5 years ago
- Fast Laplacian Eigenmaps: lightweight multicore LE for non-linear dimensional reduction with minimal memory usage. Outperforms sklearn's …☆22Updated 3 years ago
- Bootstrap Elastic net regression from Time Series is a vector-autoregressive approach to causal inference from gene expression time serie…☆17Updated last year
- ☆33Updated 6 years ago
- Amino Acid Embedding Representation as Machine Learning Features☆19Updated 6 years ago
- A deep learning model to predict anticancer peptides.☆22Updated 5 years ago
- A Graph Neural Network Model for prediction of the effectiveness of a drug on a given cancer cell lines☆16Updated last year