fratajcz / speos
A positive-unlabeled ensemble learning framework for disease gene prioritization.
☆15Updated last week
Related projects ⓘ
Alternatives and complementary repositories for speos
- Knowledge-primed neural networks☆34Updated last year
- Computational Optimization of DNA Activity (CODA)☆33Updated last month
- repository containing analysis scripts and auxiliary files☆30Updated 4 years ago
- ☆16Updated 7 months ago
- Python package to load and query ARCHS4 data☆15Updated 2 months ago
- Functional Embedding of Gene Signatures☆36Updated 8 months ago
- A VGAE-based model to infer transcription factor regulatory network☆24Updated 2 years ago
- A supervised learning model based on Graph Neural Network to predict gene co-expression from chromatin contacts☆10Updated last year
- ☆17Updated last year
- Deep learning based prediction of IsoForm FUnctions from Sequences and Expression☆15Updated 3 years ago
- CMap Notebooks for LINCS 2020 Workshop☆45Updated 3 years ago
- Scripts and datasets to reproduce the experiment of the paper "Exploring non-coding RNA functions with deep learning tools"☆11Updated 3 years ago
- ☆40Updated 10 months ago
- TCRconv is a deep learning model for predicting recognition between T cell receptors and epitopes. It uses protBERT embeddings for the TC…☆23Updated 2 years ago
- ☆14Updated 2 months ago
- Tools for sgRNA calling in direct capture Perturb-seq data☆30Updated last year
- Detects hotspot regions for somatic mutations in 3D protein structures☆2Updated 8 months ago
- ☆15Updated 3 weeks ago
- Predicting gene expression levels from genomic sequences☆50Updated 4 years ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆48Updated 2 years ago
- ☆38Updated 11 months ago
- ☆20Updated 3 years ago
- ☆42Updated 2 years ago
- PECA is a software for inferring context specific gene regulatory network from paired gene expression and chromatin accessibility data☆42Updated last year
- ACTIONet single-cell analysis framework☆36Updated last month
- Chromatin interaction aware gene regulatory modeling with graph attention networks☆18Updated last year
- ☆12Updated 6 months ago
- scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics☆40Updated 2 years ago
- Comparing performance across many methodological dimensions among tools that predict RNA after TF knockdowns and overexpression.☆17Updated this week
- ☆14Updated 3 months ago