shu65 / open-problems-multimodalLinks
1st place solution of Kaggle Open Problems - Multimodal Single-Cell Integration
☆43Updated 2 years ago
Alternatives and similar repositories for open-problems-multimodal
Users that are interested in open-problems-multimodal are comparing it to the libraries listed below
Sorting:
- Biological Network Integration using Convolutions☆62Updated last year
- A deep-learning framework for multi-omics integration☆26Updated last year
- Machine Learning for Genomics and Therapeutics Resources (Cell Patterns)☆77Updated 3 years ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆50Updated 3 years ago
- This repository contains the code for our manuscript - 'The evolution, evolvability, and engineering gene regulatory DNA'☆95Updated last year
- ☆25Updated last month
- Drug Response Prediction and Biomarker Discovery Using Multi-Modal Deep Learning☆14Updated last year
- accurate prediction of promoter activity and variant effects from massive parallel reporter assays☆36Updated last month
- Orthrus is a mature RNA model for RNA property prediction. It uses a mamba encoder backbone, a variant of state-space models specifical…☆65Updated 4 months ago
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆56Updated 3 years ago
- Sequential Optimal Experimental Design of Perturbation Screens Guided by Multimodal Priors☆40Updated last year
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆48Updated 4 months ago
- Jax code for functional genomics ML☆13Updated 3 months ago
- ☆64Updated 9 months ago
- Notebooks used in scvi-tools tutorials☆52Updated this week
- CancerFoundation: A single-cell RNA sequencing foundation model to decipher drug resistance in cancer☆18Updated 2 weeks ago
- ☆36Updated last week
- ☆34Updated last month
- CNN architecture for predicting DNA binding sites for Transcription Factors☆52Updated 6 years ago
- ☆19Updated 2 years ago
- The official code implementation for Chromoformer in PyTorch. (Lee et al., Nature Communications. 2022)☆35Updated last year
- ☆75Updated 3 years ago
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆100Updated 9 months ago
- An accurate and efficient deep learning method for single-cell RNA-seq data imputation☆88Updated 3 years ago
- Python utility to estimate, compare, and reweight RNA energetics across many secondary structure algorithms.☆103Updated last week
- Toolkit for training hyenaDNA-based autoregressive language models on DNA sequences.☆39Updated 8 months ago
- Draw RNA secondary structures in python.☆48Updated 9 months ago
- Create cell sentences from sequencing data☆22Updated 9 months ago
- Integrate Any Omics: Towards genome-wide data integration for patient stratification☆53Updated 2 weeks ago
- Batch-adversarial variational auto-encoder (BAVARIA) for simultaneous dimensionality reduction and integration of single-cell ATAC-seq da…☆14Updated 2 years ago