kr-prince / mRMRLinks
This is an App developed in Python to implement the algorithm for minimum redundancy maximum ralevance. The formulation was based on a research paper from Chris Ding and Hanchuan Peng (Minimum Redundancy Feature Selection from Microarray Gene Expression Data).
☆13Updated 7 years ago
Alternatives and similar repositories for mRMR
Users that are interested in mRMR are comparing it to the libraries listed below
Sorting:
- Implementations of various feature selection methods☆24Updated 4 years ago
- feature selections and extractions☆88Updated last year
- 常用的特征选择方法☆68Updated 3 years ago
- Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.☆107Updated 4 years ago
- An optimized clustering framework for 'Clustering by fast search and find of density peaks' in Science 2014.☆20Updated 3 years ago
- A disease gene prediction algorithm based on multimodel deep belief net☆16Updated 2 years ago
- MNIST classification by using GCN☆48Updated 5 years ago
- Feature selection problem is one of the most significant issues in data classification. The purpose of feature selection is selection of …☆10Updated 5 years ago
- Theano implementation of Cost-Sensitive Deep Neural Networks☆26Updated 7 years ago
- Implementation of "Deep Fuzzy K-Means with Adaptive Loss and Entropy Regularization", IEEE Transactions on Fuzzy Systems.☆34Updated 3 years ago
- Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data☆29Updated 5 years ago
- Implementing sparse autoencoder for MNIST data classification using keras and tensorflow☆23Updated 6 years ago
- 数据预处理之缺失值处理,特征选择☆21Updated 6 years ago
- 卷积神经网络提取特征并用于SVM//www.cnblogs.com/chuxiuhong/p/6132814.html☆15Updated 7 years ago
- XGB、LSTM、KNNR、SVR预测☆13Updated 6 months ago
- A convolutional autoencoder for feature extraction, with an SVM for image classification.☆10Updated 6 years ago
- Learning and Recording☆34Updated 5 years ago
- 使用遗传算法结合决策树做特征选择/Using genetic algorithm for feature selection with decision tree☆25Updated 7 years ago
- A toolbox for predicting miRNA-disease associations☆11Updated 8 years ago
- featselector是一个基于统计分析和模型选择的特征选择器.☆14Updated 6 years ago
- MMGCN:Multi-view Multichannel Attention Graph Convolutional Network for miRNA-disease Association Prediction☆20Updated 4 years ago
- Affinity Propagation Clustering with DTW distance on temporal sequence classification☆20Updated 6 years ago
- AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.☆41Updated 5 years ago
- ☆18Updated 5 years ago
- Medical Imaging, Denoising Autoencoder, Sparse Denoising Autoencoder (SDAE) End-to-end and Layer Wise Pretraining☆47Updated 6 years ago
- Creating tabular GAN on credit card dataset☆20Updated 5 years ago
- Several state-of-the-art fuzzy clustering algorithms, including Fuzzy c-means clustering, fuzzy subspace clustering and maximum entropy c…☆32Updated 5 years ago
- 使用 tensorflow2.0 实现图卷积神经网络GCN☆20Updated 4 years ago
- 基于遗传算法的特征选择☆127Updated 5 years ago
- CNN-SVR: A deep learning approach for predicting CRISPR/Cas9 guide RNA on-target activity☆23Updated 4 years ago