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SpatialX
A platform for analyzing spatial biology data with cell annotation
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A platform for analyzing single-cell RNA-sequencing Data
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A database of 3000+ single-cell RNA-seq datasets
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A platform for analyzing bulk RNA-sequencing data
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Contact Us
About Us
Who we are?
Meet our team
Careers
Explore our culture and join us
Platforms
SpatialX
A platform for analyzing spatial biology data with cell annotation
BBrowserX
A platform for analyzing single-cell RNA-sequencing Data
Talk2Data
A database of 3000+ single-cell RNA-seq datasets
SmartBulk
A platform for analyzing bulk RNA-sequencing data
Services
Resources
Publications
BioTuring research and citations
Webinars
Insights from experts in the field
Tutorials
Documentation and videos
Blog
Insights, Guides, Bioinformatics Discussions
Collaborations
Partnering with industry leaders
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Automatic cell type prediction (a.k.a HaiTam Algorithm) is a state-of-the-art neural network trained on millions of curated single cells.
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Advanced combinatorial algorithms onhigh-performance computer
80,574,317
Single cells
54
Major cell types
183
Subtypes
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