Gene print-based cell subtypes annotation of human disease across heterogeneous datasets with gPRINT
(A) Selected human single-cell transcriptome profiles from HCL and other public datasets were utilized to train and validate gPRINT. The human single-cell data encompasses 159,302 cells from 26 ...
MultiKano is the first automatic cell type annotation method tailored to single-cell multi-omics data. MultiKano introduces a novel data augmentation strategy based on paired scRNA-seq and scATAC-seq ...
New simulator and computational tools generate realistic ‘virtual tissues’ and map cell-to-cell ‘conversations’ from spatial transcriptomics data, potentially accelerating AI-driven discoveries in ...
SAN DIEGO--(BUSINESS WIRE)--BioBam, a leading bioinformatics solutions provider, proudly presents OmicsBox Version 3.4 at the San Diego Plant and Animal Genome Conference (PAG 32). This latest release ...
In a recent study published in the journal Nature, researchers developed spatial aging clocks using single-cell transcriptomics to explore cell-type-specific interactions and their impact on brain ...
Yusuf Roohani, PhD, machine learning group lead at the Arc Institute, is among a team of researchers training artificial intelligence (AI) models with transcriptome data to predict how cell gene ...
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