marakeby / pnet_prostate_paper
P-NET, Biologically informed deep neural network for prostate cancer classification and discovery
☆150Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for pnet_prostate_paper
- MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations☆64Updated last week
- Multi-omics integration method using AE and GCN☆31Updated last year
- ☆50Updated last year
- Transformer for One-Stop Interpretable Cell-type Annotation☆131Updated 8 months ago
- ☆153Updated last week
- scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks☆134Updated 3 months ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆48Updated 2 years ago
- Multi-task deep learning framework for multi-omics data analysis☆39Updated 2 years ago
- Models and datasets for perturbational single-cell omics☆142Updated 2 years ago
- ☆11Updated 3 years ago
- Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network☆100Updated last year
- Repository for Nicheformer: a foundation model for single-cell and spatial omics☆62Updated 6 months ago
- Benchmarking analysis of data integration tools☆300Updated last month
- Discovering novel cell types across heterogenous single-cell experiments☆120Updated last year
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆47Updated last year
- Gene2Vec: Distributed Representation of Genes Based on Co-Expression☆107Updated 2 years ago
- UCE is a zero-shot foundation model for single-cell gene expression data☆165Updated last month
- A visible neural network model for drug response prediction☆129Updated last year
- Spatial Transcriptomic Analysis using Reference-Free auxiliarY deep generative modeling and Shared Histology☆104Updated 2 months ago
- Python packaging for CPTAC data☆90Updated 4 months ago
- ☆35Updated 11 months ago
- Velodrome combines semi-supervised learning and out-of-distribution generalization (domain generalization) for drug response prediction a…☆16Updated 2 years ago
- Reference mapping for single-cell genomics☆335Updated 2 weeks ago
- Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data☆113Updated last year
- ☆29Updated 3 years ago
- Deep-Learning framework for multi-omic and survival data integration☆76Updated 10 months ago
- Cell2Sentence turns scRNA-seq data into text for LLM training.☆84Updated 2 months ago
- SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph con…☆198Updated last year
- Sequence-based Modeling of single-cell ATAC-seq using Convolutional Neural Networks.☆96Updated 9 months ago