☆101Aug 12, 2024Updated 2 years ago
Alternatives and similar repositories for biolord
Users that are interested in biolord are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆62Apr 5, 2024Updated 2 years ago
- Single-cell perturbation analysis☆337Updated this week
- Conditional out-of-distribution prediction☆63Aug 2, 2024Updated 2 years ago
- Tools for sgRNA calling in direct capture Perturb-seq data☆42Jun 18, 2023Updated 3 years ago
- ☆30Oct 14, 2024Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆60Nov 1, 2024Updated last year
- Supervised Pathway DEConvolution of InTerpretable Gene ProgRAms☆202Jan 30, 2026Updated 7 months ago
- ☆71Jul 21, 2023Updated 3 years ago
- scPrisma is a spectral analysis method, for pseudotime reconstruction, informative genes inference, filtering, and enhancement of underly…☆21Mar 31, 2024Updated 2 years ago
- UniTVelo, Temporally Unified RNA Velocity for single cell trajectory inference☆28Nov 12, 2024Updated last year
- Robustness and applicability of transcription factor and pathway analysis tools on single-cell RNA-seq data☆30Mar 2, 2020Updated 6 years ago
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆66Jan 12, 2026Updated 7 months ago
- Annotatability, a method to identify meaningful patterns in single-cell genomics data through annotation-trainability analysis, which est…☆19Jun 23, 2025Updated last year
- ☆23Apr 30, 2025Updated last year
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- DIALOGUE is a dimensionality reduction method that uses cross-cell-type associations to identify multicellular programs (MCPs) and map th…☆125Jan 22, 2024Updated 2 years ago
- GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations☆403Feb 1, 2025Updated last year
- Reference mapping for single-cell genomics☆407Jun 26, 2026Updated 2 months ago
- Convert between AnnData and SingleCellExperiment☆152Updated this week
- a scalable python suite for tree inference and advanced pseudotime analysis from scRNAseq data.☆71Jul 9, 2026Updated last month
- Non-parametric density inference for single-cell analysis.☆75Jul 28, 2026Updated last month
- Aligning gene expression trajectories of single-cell reference and query systems☆90Jul 28, 2026Updated last month
- A library for the deconvolution of bulk cell samples using single-cell RNA expression data.☆23Nov 3, 2021Updated 4 years ago
- CellRank: dynamics from multi-view single-cell data☆456Updated this week
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Python package to perform enrichment analysis from omics data.☆293Updated this week
- Code and example of the D-SPIN framework☆40Aug 5, 2026Updated 3 weeks ago
- R package for generalized binary covariance decomposition.☆16Jul 13, 2025Updated last year
- Pareto Task Inference in Python☆23Updated this week
- Tutorial for using the perturbseq library to load and manipulate experiments☆24Aug 7, 2019Updated 7 years ago
- Metacells - Single-cell RNA Sequencing Analysis☆128Aug 19, 2026Updated 2 weeks ago
- Toolbox for single-cell data analysis on sample level☆27Updated this week
- Fit generalized linear models in python.☆28Mar 6, 2023Updated 3 years ago
- Realistic in silico generation and augmentation of single cell RNA-seq data using Generative Adversarial Neural Networks☆88May 27, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆150Aug 14, 2024Updated 2 years ago
- ☆37Jul 27, 2026Updated last month
- CellDrift: temporal perturbation effects for single cell data☆13Dec 3, 2022Updated 3 years ago
- sEV-containing droplet identification in scRNA-seq data (SEVtras)☆27Feb 22, 2025Updated last year
- This is the alpha version of the CellOracle package☆488Apr 30, 2026Updated 4 months ago
- Gene group activity utility functions for Scanpy☆117Dec 21, 2024Updated last year
- Simple scVI implementation☆13Aug 24, 2026Updated last week