Predicting Acute Leukemia class from RNA-seq

Ekşisözlüğün gelecekteki hali

Cursor for Bioinformatics

Code for batch and biological effect deconfounding by variance decomposition for scRNAseq data

A large (+2500) collection of colormaps and palettes for Python 🎨

Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.

CancerFoundation: A single-cell RNA sequencing foundation model to decipher drug resistance in cancer

Identification of clone-specific and cancer-selective multi-targeting therapeutic options based on single-cell transcriptomic profiles of cancer patients

DeepSpot: Deep learning model for predicting spatial transcriptomics from H&E histopathology images. Supports spot-level (Visium) and single-cell (Xenium) resolution.

A package to help convert different single-cell data formats to each other

reticulate-free single cell format conversion

Scripts used in the lifespan manuscript

Official Site

Unsupervised Deep Disentangled Representation of Single-Cell Omics

An extremely fast Python package and project manager, written in Rust.

An open-source AI agent that brings the power of Gemini directly into your terminal.

State is a machine learning model that predicts cellular perturbation response across diverse contexts

Reproducibility of gimVI

Fast Gene Set Enrichment Analysis

Spatial omics analysis toolbox

Probabilistic cell segmentation for in situ spatial transcriptomics

Python code to estimate mutual information between variables using a maximum likelihood approach.

LIANA+: an all-in-one framework for cell-cell communication

Easily fine-tune, evaluate and deploy Qwen, Gemma, or any open weight LLM!

Fully open reproduction of DeepSeek-R1

tools and notes for spatial omics

An object-oriented algebraic modeling language in Python for structured optimization problems.