insitro / EmbedGEMLinks
EmbedGEM: A framework to evaluate the utility of embeddings for genetic discovery
☆22Updated last year
Alternatives and similar repositories for EmbedGEM
Users that are interested in EmbedGEM are comparing it to the libraries listed below
Sorting:
- ☆66Updated 2 years ago
- Biological Network Integration using Convolutions☆63Updated last year
- Analysis on stop reasons☆10Updated last year
- MASI Lab Implementation of PheWAS in Python☆28Updated last year
- Generating biologically informed neural networks☆53Updated 11 months ago
- Tofu is a Python tool for generating synthetic UK Biobank data.☆66Updated 2 years ago
- PlaNet: Predicting population response to drugs via clinical knowledge graph☆31Updated 9 months ago
- Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit☆50Updated 2 years ago
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆51Updated 4 months ago
- TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation) provides tools for estimating well-calibrated uncertainty …☆41Updated last year
- A spectral method for assessing and combining multiple data visualizations☆50Updated 2 years ago
- Parallel opt-SNE implementation with Python wrapper☆38Updated 3 years ago
- BioBombe: Sequentially compressed gene expression features enhances biological signatures☆65Updated last year
- A resource of adverse drug effects extracted from FDA structured product labels☆88Updated 6 months ago
- A Python module for loading phenotypic and genetic data from the UK Biobank.☆38Updated 2 months ago
- Picasso: a methods for embedding points in 2D in a way that respects distances while fitting a user-specified shape.☆71Updated 3 months ago
- An unsupervised transfer learning approach for rare disease transcriptomics☆46Updated 5 years ago
- Quantifying experimental perturbations at single cell resolution☆112Updated last year
- ☆63Updated 2 years ago
- ☆19Updated 2 years ago
- SHEPHERD: Few shot learning for phenotype-driven diagnosis of patients with rare genetic diseases☆77Updated 6 months ago
- code for Gogleva et al manuscript☆46Updated 3 years ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆53Updated 3 years ago
- Creating multi-resolution embeddings and clusters from high dimensional data☆57Updated last year
- Using self-organizing maps for visualization and interpretation of cytometry data☆65Updated 2 years ago
- Discovering novel cell types across heterogenous single-cell experiments☆123Updated 3 years ago
- Multi-omics studies are available here☆52Updated 3 years ago
- A tool for single-cell data analysis.☆41Updated 3 months ago
- Preprocessing methylation pipeline, written in python. Easy to use and highly parallelized.☆36Updated 5 years ago
- Exploring dimension-reduced embeddings☆111Updated 3 years ago