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TAP-seq combines genome editing with targeted RNA sequencing to enable sensitive and cost-effective single-cell functional genomics screens...
RNA sequencing from more than 22 million cells trained a model that predicts cell-type-specific gene expression and noncoding variant...
RNA sequencing quality improves with scQCenrich, which combines multiple biological and technical metrics to preserve valuable cells while reducing unnecessary filtering... The pos...
Single-cell RNA sequencing is helping researchers uncover cellular responses to fungal pathogens, providing new insights into host-pathogen interactions, biomarkers, and potential...
RNA sequencing is benefiting from Transformer-based AI models that improve analysis of complex single-cell datasets while supporting more accurate and scalable biological discovery...
RNA sequencing data analyzed with SCITE-RNA enabled reconstruction of cell lineage trees and linked cancer cell evolution to gene expression profiles... The post New method reconst...
A new multi-view learning framework improves clustering of single-cell RNA sequencing data by integrating multiple cellular perspectives to better identify biologically meaningful...
RNA sequencing workflows using preserved cells enable flexible sample collection and support reproducible single-cell analyses across multiple laboratories and processing platforms...
A new RNA sequencing workflow using nanopore technology improves full-length lncRNA isoform discovery, revealing many previously undetected transcripts missed by conventional short...
RNA sequencing reveals distinct cellular programs and therapeutic targets in rare sinonasal carcinomas, supporting precision oncology approaches tailored to specific tumor subtypes...
RNA sequencing combined with artificial intelligence reconstructed single-cell spatial organization from bulk data, revealing immune barriers that may influence colorectal cancer.....
A multi-model AI framework improves cell type annotation accuracy for single-cell RNA sequencing data, helping researchers interpret complex cellular populations with greater.... T...
A new consortium framework improves how RNA sequencing datasets are standardized, annotated, and shared, enabling more reliable integration and reuse of single-cell transcriptomic...
RNA sequencing combined with graph neural networks and Mamba models improves cell type classification, enabling more accurate analysis of complex single-cell datasets... The post G...
RNA sequencing using nanopore direct RNA sequencing enables simultaneous analysis of native RNA molecules, transcript isoforms, RNA modifications, and poly(A) tails for comprehensi...
This collection highlights how RNA sequencing is advancing transcriptomics research, from single-cell analysis and disease mechanisms to nanopore sequencing and AI-driven data inte...
by Zhexiao Lin, Yuanyuan Gao, Wei Sun Gene-by-gene differential expression analysis is a widely used supervised approach for interpreting single-cell RNA-sequencing (scRNA-seq) da...
RNA sequencing combined with nanopore technology and machine learning may streamline GMP quality control testing for mRNA therapeutics within a single workflow...
RNA sequencing reveals that immune cells exist along continuous landscapes of changing identities, providing a new framework for understanding cell behavior and improving future im...
Advanced RNA sequencing methods, including IRISeq and EnrichSci, uncover spatial interactions and molecular changes linked to aging in vulnerable brain cell populations...
Nanopore direct RNA sequencing enables accurate, site-specific quantification of pseudouridine modifications in human ribosomal RNA, expanding opportunities for large-scale epitran...
Amaranth improves transcript reconstruction from RNA sequencing data by modeling different read types, enabling more accurate isoform analysis at single-cell resolution...
RNA sequencing combined with knowledge distillation improves identification of fine grained T cell subtypes, increasing the accuracy of cancer single cell transcriptomics analyses....
Advances in RNA sequencing and spatial transcriptomics are revealing complex tumor ecosystems and enabling AI-driven approaches to improve precision immunotherapy and cancer treatm...
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