azusakou

azusakou's Stars

• scverse/scanpy-tutorials

  Scanpy Tutorials.

  Language:Jupyter Notebook175113

• MGuo-Lab/Single-Cell-Protein

  Source Code and Data Set for 'SPATIAL ANALYSES AND VISUALISATION FOR NEW PROTEIN SOURCES'

  Language:Jupyter Notebook1

• joonspk-research/generative_agents

  Generative Agents: Interactive Simulacra of Human Behavior

  15.9k2k

• vandijklab/cell2sentence-ft

  Cell2Sentence turns scRNA-seq data into text for LLM training.

  Language:Python6911

• openworm/OpenWorm

  Repository for the main Dockerfile with the OpenWorm software stack and project-wide issues

  Language:Python2.6k205

• ACDBio/AutoMR

  An R script to perform two sample Mendelian randomization screening (with TwoSampleMR) for a custom summary statistic against a set of summary statistics from the IEU GWAS database.

  Language:R321

• YangLabHKUST/MR-APSS

  Mendelian Randomization accounting for Pleiotropy and Sample Structure using genome-wide summary statistics

  Language:R3710

• PharMolix/LangCell

  Code for "LangCell: Language-Cell Pre-training for Cell Identity Understanding".

  Language:Jupyter Notebook315

• sinc-lab/lncRNA-folding

  Language:Jupyter Notebook143

• mistyreed63849/Graph-LLM

  GraphLLM: Boosting Graph Reasoning Ability of Large Language Model

  Language:Python808

• HKUDS/GraphGPT

  [SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"

  Language:Python48836

• azusakou/AbGraftBERT

  Language:Python6

• tianlt/deepdirect

  Language:Python123

• krishnanlab/obnb

  A Python toolkit for setting up benchmarking dataset using biomedical networks

  Language:Python20

• Ha0Tang/AttentionGAN

  AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation

  Language:Python62894

• azusakou/MiranDa

  MiranDa: Mimicking the learning process of human doctors to achieve causal inference for medication recommendation

  Language:Python7

• muhaochen/seq_ppi

  This is the repository for PIPR. This repository contains the source code and links to some datasets used in the ISMB/ECCB-2019 paper "Multifaceted Protein-Protein Interaction Prediction Based on Siamese Residual RCNN".

  Language:Python8225

• MingyuJ666/ProLLM

  [COLM'24] We propose Protein Chain of Thought (ProCoT), which replicates the biological mechanism of signaling pathways as language prompts. It considers a signaling pathway as a protein reasoning process, which starts from upstream proteins and passes through several intermediate proteins to transmit biological signals to downstream proteins.

  Language:Python394

• DAMO-DI-ML/NeurIPS2023-One-Fits-All

  The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"

  Language:Python40857

• Wensi-Tang/DPSN

  Language:Jupyter Notebook204

• clinicalml/TabLLM

  Language:Python25441

• thuml/Time-Series-Library

  A Library for Advanced Deep Time Series Models.

  Language:Python5.3k890

• lamini-ai/llm-classifier

  Classify data instantly using an LLM

  Language:Python21820

• JinmiaoChenLab/SEDR_analyses

  Language:R3211

• YangLabHKUST/SpatialScope

  A unified approach for integrating spatial and single-cell transcriptomics data by leveraging deep generative models

  Language:Python434

• gyjames/CIRI-deep

  Language:Python31

• JiangBioLab/DeepST

  Identify spatial domain

  Language:Python5114

• bowang-lab/scGPT

  Language:Jupyter Notebook937171

• VIRL-Platform/VIRL

  (ECCV 2024) Code for V-IRL: Grounding Virtual Intelligence in Real Life

  Language:Python2959

• t7morgen/misato-dataset

  Language:Jupyter Notebook15015