zbxnzs1990 / Group-sparse-Canonical-Correlation-Analysis
Group sparse Canonical Correlation Analysis (group sparse CCA) is a method designed to study the mutual relationship between two different types of data (i.e. SNP and gene expression). More information about method and algorithm can be seen from: Dongdong Lin, Ji-Gang Zhang, Jingyao Li, Vince D. Calhoun, Hong-Wen Deng, Yu-Ping Wang: Group spar…
☆12Updated 6 years ago
Alternatives and similar repositories for Group-sparse-Canonical-Correlation-Analysis:
Users that are interested in Group-sparse-Canonical-Correlation-Analysis are comparing it to the libraries listed below
- Deep & Sparse CCA for Neuroimaging in Tensorflow☆24Updated 7 years ago
- Publication quality figure for Nemenyi post-hoc test for the Friedman's test☆21Updated 7 years ago
- MATLAB implementation of the GIRAF algorithm for convolutional structured low-rank matrix recovery☆12Updated 7 years ago
- ☆80Updated 3 years ago
- Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease (AMIA 2018)☆100Updated 4 years ago
- review of Alzheimer's disease prediction paper☆19Updated 5 years ago
- Low-Rank Representation Python implementation☆35Updated 5 years ago
- Deep learning cardiac motion analysis for survival prediction☆81Updated 2 years ago
- Implementation of the SimpleMKL algorithm (multiple kernel SVM)☆20Updated 10 years ago
- ☆28Updated 6 months ago
- Convolutional AutoEncoder application on MRI images☆72Updated 7 years ago
- Apply deep learning on ADNI MRI for Alzheimer disease diagnostic.☆55Updated 6 years ago
- Pytorch implementation of pooling-regularized GNN (PRGNN) for fMRI analysis. https://arxiv.org/pdf/2007.14589.pdf☆34Updated 4 years ago
- Graph CNNs for population graphs☆172Updated 2 years ago
- Integrative Analysis of Patient Health Records and Neuroimages via Memory-based Graph Convolutional Network (ICDM 2018 full paper)☆45Updated 5 years ago
- Semi Supervised Learning Superpixels☆14Updated 7 years ago
- Inception Graph Convolutional NN on medical and non-medical datasets☆21Updated 4 years ago
- Code for the Paper "Automatic Feature Selection for Survival Analysis with Deep Learning"☆15Updated 4 years ago
- Boosted Sparse and Low-Rank Tensor Regression☆12Updated 5 years ago
- Self-supervised learning for understanding of morphological features in classification of fMRI images from the Alzheimer's Disease Neuroi…☆23Updated 6 years ago
- Tensorflow implementation of "Deep sparse representation-based classification"☆44Updated 5 years ago
- Connectome-convolutional neural netvork for connectivity-based classificatin☆37Updated 5 years ago
- Deformable Cross-modality MRI Registration Using 3D CNN☆9Updated 6 years ago
- SimpleMKL Toolbox from http://asi.insa-rouen.fr/enseignants/~arakoto/code/mklindex.html☆13Updated 10 years ago
- To support the Alzheimer's Disease challenge hackathon at Py Con UK 2017☆13Updated 7 years ago
- Deep Learning Journal Club☆19Updated 4 years ago
- Quadratic Autoencoder based on new types of neurons and its application in low-dose CT☆19Updated 4 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆13Updated 7 years ago
- Feature fusion using Canonical Correlation Analysis (CCA)☆48Updated 5 years ago
- Deep Recurrent Model for Individualized Prediction of Alzheimer’s Disease Progression - PyTorch Implementation (NeuroImage 2021)☆16Updated 2 years ago