juanshu30 / Disease-Gene-Prioritization-with-Privileged-Information-and-Heteroscedastic-DropoutView external linksLinks
Disease Gene Prioritization with Privileged Information and Heteroscedastic Dropout
☆11Jan 28, 2021Updated 5 years ago
Alternatives and similar repositories for Disease-Gene-Prioritization-with-Privileged-Information-and-Heteroscedastic-Dropout
Users that are interested in Disease-Gene-Prioritization-with-Privileged-Information-and-Heteroscedastic-Dropout are comparing it to the libraries listed below
Sorting:
- ☆13Oct 8, 2021Updated 4 years ago
- ☆14Jun 16, 2020Updated 5 years ago
- An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction☆31Jul 5, 2022Updated 3 years ago
- An efficient curriculum learning-based strategy for molecular graph learning☆17Sep 22, 2023Updated 2 years ago
- REDDA: integrating multiple biological relations to heterogeneous graph neural network for drug-disease association prediction☆19Nov 11, 2024Updated last year
- Python framework for single-cell RNA-seq clustering with special focus on transfer learning.☆18Aug 29, 2019Updated 6 years ago
- PGCN: Disease gene prioritization by disease and gene embedding through GCN☆79Apr 1, 2024Updated last year
- ☆35Feb 19, 2023Updated 2 years ago
- Disease pathways in the human interactome☆23Mar 20, 2018Updated 7 years ago
- MVGCN: a novel multi-view graph convolutional network (MVGCN) framework for link prediction in biomedical bipartite networks.☆22Aug 19, 2022Updated 3 years ago
- A Graph Auto-Encoder Model for MiRNA-Disease Associations Prediction☆23Mar 1, 2023Updated 2 years ago
- Realizing DTINet with python☆27May 11, 2018Updated 7 years ago
- bipartite-graph-learning☆31Feb 18, 2020Updated 5 years ago
- ☆34Nov 24, 2020Updated 5 years ago
- UniCell Deconvolve Paper☆10Apr 25, 2023Updated 2 years ago
- ☆10Oct 6, 2017Updated 8 years ago
- Transcriptional regulatory network inference from gene expression and prior information with LASSO-StARS☆15May 3, 2022Updated 3 years ago
- ☆11Mar 20, 2022Updated 3 years ago
- ☆13Aug 21, 2022Updated 3 years ago
- Publication Page for the Noack et al. 2021 Nature Neuroscience paper☆10Feb 7, 2022Updated 4 years ago
- SmuDGE: Semantic Disease Gene Embeddings☆12Jul 11, 2018Updated 7 years ago
- Pathway visualization and analysis tool for Pathway Commons and other BioPAX data☆14May 25, 2022Updated 3 years ago
- Website for visualizing predicted drug side-effects using L1000 data (http://maayanlab.net/SEP-L1000/)☆10Apr 15, 2022Updated 3 years ago
- Sentiment-Polarized Word Embedding for Multi-Label Sentiment Classification☆12Oct 7, 2018Updated 7 years ago
- Stochastic simulation of next-generation sequencing data from neutrally evolving tumors☆10Nov 9, 2016Updated 9 years ago
- Semiautomated layout of RNA tertiary structure diagrams☆14Feb 26, 2025Updated 11 months ago
- [WWW'21] Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks☆46Oct 11, 2021Updated 4 years ago
- ☆13Dec 23, 2021Updated 4 years ago
- Python code for "M. Zhang, Y. Chen, Weisfeiler-Lehman Neural Machine for Link Prediction, KDD 2017"☆12Aug 12, 2020Updated 5 years ago
- Data, results, and code accompanying the manuscript: "Supervised learning is an accurate method for network-based gene classification"☆10Nov 3, 2021Updated 4 years ago
- Augmenting a training dataset of the generative diffusion model for molecular docking with artificial binding pockets☆10Aug 5, 2025Updated 6 months ago
- Neural Crest Fate Decisions☆11Jul 9, 2019Updated 6 years ago
- A deep learning framework for predicting lncRNA–disease associations☆10Dec 29, 2020Updated 5 years ago
- Anti-Cancer Peptide Prediction with Deep Representation Learning Features☆11Jan 27, 2021Updated 5 years ago
- ☆14Oct 9, 2024Updated last year
- ☆12May 31, 2021Updated 4 years ago
- Recent application of graph neural network in drug discovery☆13Mar 19, 2020Updated 5 years ago
- Project page:☆11Jul 19, 2020Updated 5 years ago
- MVP (Qi et al 2021) source code☆17May 11, 2021Updated 4 years ago