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Stanford University
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01:06
(UTC -08:00) - https://rongtingting.github.io/
- @RongtingHuang
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Python Jupyter notebooks for BioImageAnalysis, GPU-accelerated image processing, bio-image data science and more
Deep Learning Library for Single Cell Analysis
An R package to test for batch effects in high-dimensional single-cell RNA sequencing data.
Biomni: a general-purpose biomedical AI agent
napari: a fast, interactive, multi-dimensional image viewer for python
Rongtingting / IN-DEPTH
Forked from SizunJiangLab/IN-DEPTHCode for IN-DEPTH
Spatial Partitioning of Tumor- Immune Architecture via Multi-omics), an open-source computational framework that integrates genomic, transcriptomic, and proteomic data at single-cell resolution to …
Easily create a beautiful website using Academic and Hugo
An open and interoperable data framework for spatial omics data
CoMut is a Python library for visualizing genomic and phenotypic information via comutation plots
Probabilistic cell segmentation for in situ spatial transcriptomics
Associated code to the manuscript "Characterization of immune cell populations in the tumor microenvironment of colorectal cancer using high definition spatial profiling"
A package to help convert different single-cell data formats to each other
StarDist - Object Detection with Star-convex Shapes
tiroshlab / infercna
Forked from jlaffy/infercnaInfer Copy Number Alterations and Clonality in (Single-Cell) RNA-Seq Data
ST Pipeline contains the tools and scripts needed to process and analyze the raw files generated with the Spatial Transcriptomics method in FASTQ format.
Create thumbnails of cells in a given image.
CSPOT: A scalable framework for automated processing of highly multiplexed tissue images
modular in structure; chapters separated into separate source files with cross-referencing (with hyperlinks) enabled