A curated list of resources for using LLMs to develop more competitive grant applications.

A list of positions (mostly biology-related) open to apply

Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.

Code for a tutorial on Bayesian Statistics by Allen Downey.

Create consensus reads from UMI labeled long-reads

Using TCR and expression for sequence embedding

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

A collection of various deep learning architectures, models, and tips

A curated list of awesome ggplot2 tutorials, packages etc.

Code Repository for Machine Learning with PyTorch and Scikit-Learn

A continually expanding collection of cancer genomics notes and data

An R interface to query and extract data from the ARCHS4 data

My Self-Study Room: keep tidy and lightweight

An algorithm for prediction of clinical drug response using preclinical cell line data in cancer

The "Python Machine Learning (3rd edition)" book code repository

线性代数笔记

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative ski…

A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.

Code repository for the snRNA-seq cross-tissue atlas project

Human brain, >200,000 nuclei

Collection of Tumor-Infiltrating Lymphocyte Single-Cell Experiments with TCR

Ensemble Learning for Harmonization and Annotation of Single Cells (ELeFHAnt) provides an easy to use R package for users to annotate clusters of single cells, harmonize labels across single cell d…

The Composer of ggplots

Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.