LincolnSteinLab / MMDRPLinks
Drug Response Prediction and Biomarker Discovery Using Multi-Modal Deep Learning
☆14Updated last year
Alternatives and similar repositories for MMDRP
Users that are interested in MMDRP are comparing it to the libraries listed below
Sorting:
- A deep-learning framework for multi-omics integration☆26Updated last year
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆56Updated 4 years ago
- CancerFoundation: A single-cell RNA sequencing foundation model to decipher drug resistance in cancer☆18Updated this week
- SEQUOIA: Digital profiling of cancer transcriptomes with grouped vision attention☆41Updated 3 weeks ago
- DeepSpot: Leveraging Spatial Context for Enhanced Spatial Transcriptomics Prediction from H&E Images☆49Updated 2 weeks ago
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆48Updated 5 months ago
- DCAP:Integrating multi-omics data with deep learning for predicting cancer prognosis☆21Updated 4 years ago
- Biological Network Integration using Convolutions☆62Updated last year
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆50Updated 3 years ago
- ☆33Updated 3 years ago
- ☆55Updated 2 years ago
- MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction☆55Updated 4 years ago
- Deep-Learning framework for multi-omic and survival data integration☆82Updated last year
- Multi-omics integration method using AE and GCN☆35Updated 2 years ago
- Interpretation by Deep Generative Masking for Biological Sequences☆37Updated 3 years ago
- Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.☆26Updated this week
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆34Updated last month
- A pipeline that accurately simulates high quality publicly cancer genomes (VCFs, CNAs and SVs).☆13Updated 3 weeks ago
- A Python toolkit for setting up benchmarking dataset using biomedical networks☆22Updated last month
- Knowledge-primed neural networks☆38Updated 2 years ago
- BulkRNABert: Cancer prognosis from bulk RNA-seq based language models☆25Updated last week
- PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction pre…☆51Updated last year
- ☆66Updated last year
- resVAE is a restricted latent variational autoencoder that we wrote to uncover hidden structures in gene expression data, especially usin…☆12Updated 2 years ago
- Modeling complex perturbations with CellFlow☆57Updated this week
- ☆59Updated 9 months ago
- KGWAS: novel genetics discovery enabled by massive functional genomics knowledge graph☆70Updated 3 months ago
- ☆27Updated 2 months ago
- using shallow neural network layer (embedding) to infer gene-gene/sample relationship from gene expression data☆21Updated 6 years ago
- SUPREME: A GCN based approach for cancer subtype prediction☆18Updated last year