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 ...
Single-cell analysis is reshaping drug discovery, but interpretation remains slow. AI single cell approaches may close the ...
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 ...
The rapid advancement of spatial and single-cell omics technologies has revolutionized molecular biosciences by enabling high-resolution profiling of gene ...
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 ...
Neurodegenerative diseases affect more than 57 million people globally. The incidence of these diseases, from Alzheimer's to Parkinson's to ALS and beyond, is expected to double every 20 years. Though ...
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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