yangtcai

yangtcai's Stars

• aertslab/pySCENIC

  pySCENIC is a lightning-fast python implementation of the SCENIC pipeline (Single-Cell rEgulatory Network Inference and Clustering) which enables biologists to infer transcription factors, gene regulatory networks and cell types from single-cell RNA-seq data.

  Language:Python46619549186

• aertslab/SCENIC

  SCENIC is an R package to infer Gene Regulatory Networks and cell types from single-cell RNA-seq data.

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• Kiri-Innovation/3dgs-render-blender-addon

  3DGS Render by KIRI Engine

  Language:Python397171611

• gao-lab/GLUE

  Graph-linked unified embedding for single-cell multi-omics data integration

  Language:Python394812258

• lumina37/rotate-captcha-crack

  基于CNN的旋转验证码解决方案✨Predict the rotation angle of given captcha picture through CNN

  Language:Python34532995

• BayraktarLab/cell2location

  Comprehensive mapping of tissue cell architecture via integrated single cell and spatial transcriptomics (cell2location model)

  Language:Python327724958

• theislab/scCODA

  A Bayesian model for compositional single-cell data analysis

  Language:Jupyter Notebook15599224

• JunchenLiu77/Rip-NeRF

  Rip-NeRF: Anti-aliasing Radiance Fields with Ripmap-Encoded Platonic Solids

  Language:Python128446

• daviddaiweizhang/istar

  Language:Python11213117

• billkarsh/SpikeGLX

  SpikeGLX recording system GUI [Neuropixels NI]

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• ludvb/xfuse

  Super-resolved spatial transcriptomics by deep data fusion

  Language:Python7134313

• Teichlab/Genes2Genes

  Aligning gene expression trajectories of single-cell reference and query systems

  Language:Jupyter Notebook51285

• jianhuupenn/TESLA

  Deciphering tumor ecosystems at super-resolution from spatial transcriptomics with TESLA

  Language:Jupyter Notebook4932412

• JinmiaoChenLab/SEDR

  Language:Python4991510

• AIRMEC/HECTOR

  Multimodal deep learning to predict distant recurrence-free probability from digitized H&E tumour slide and tumour stage.

  Language:Python33226

• zhoux85/STAligner

  STAligner is a tool for alignment and integration of spatially resolved transcriptomics data.

  Language:Jupyter Notebook311295

• theislab/prophet

  Language:Python27622

• ys-zong/conST

  conST: an interpretable multi-modal contrastive learning framework for spatial transcriptomics

  Language:Python26284

• Flashiness/METI

  Morphology-Enhanced Spatial Transcriptome Analysis Integrator

  Language:Python200

• AllenCellModeling/cyto-dl

  Language:Python178786

• deng-ai-lab/soScope

  Language:Jupyter Notebook17140

• YangLabHKUST/MATH-4432-Statistical-Machine-Learning

  Tutorials for MATH 4432 Statistical Machine Learning, 2024 Fall

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• katherine-benjamin/topact-paper

  Code for the paper `Multiscale topology classifies and quantifies cell types in subcellular spatial transcriptomics"

  Language:Jupyter Notebook10141

• zhanglabtools/BrainAlign

  Code for "Whole brain alignment of spatial transcriptomics between humans and mice with BrainAlign"

  Language:Python10102

• leihouyeung/SANTO

  SANTO: a coarse-to-fine stitching and alignment method for spatial omics

  Language:Jupyter Notebook7110

• quantmew/LATYAS

  Layout Analysis Toolkit Yet Another Solution

  Language:Python60

• Chenlei-Hu/Slide_recon

  Reconstruction for imaging-free spatial transcriptomics

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• OliverXUZY/waveST

  R package about wavelet-guided methods for Spatial Transcriptomics

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• VafaeeLab/Fotomics-Imagification

  Language:Jupyter Notebook1001

• yuyuanyuana/STAIR

  Spatial Transcriptomic Alignment, Integration, and de novo 3D Reconstruction

  Language:Python1100