Latest updates for Scrna-Seq

Fresh curated links around scRNA-seq are collected here so marketers can spot useful updates and turn timely ideas into posts faster.

Recent items include:

  • scMVAF – a multi-view adaptive fusion clustering approach for single-cell RNA-sequencing data
  • TAP-seq – targeted single-cell RNA and perturbation sequencing
  • ScQCenrich – multi-metric quality control for single-cell RNA sequencing

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rna-seqblog.com /1 month ago

scMVAF – a multi-view adaptive fusion clustering approach for single-cell RNA-sequencing data

A new multi-view learning framework improves clustering of single-cell RNA sequencing data by integrating multiple cellular perspectives to better identify biologically meaningful...

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rna-seqblog.com /1 month ago

TAP-seq – targeted single-cell RNA and perturbation sequencing

TAP-seq combines genome editing with targeted RNA sequencing to enable sensitive and cost-effective single-cell functional genomics screens...

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rna-seqblog.com /2 weeks ago

ScQCenrich – multi-metric quality control for single-cell RNA sequencing

RNA sequencing quality improves with scQCenrich, which combines multiple biological and technical metrics to preserve valuable cells while reducing unnecessary filtering... The pos...

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rna-seqblog.com /1 month ago

Decima predicts gene expression at single-cell resolution

RNA sequencing from more than 22 million cells trained a model that predicts cell-type-specific gene expression and noncoding variant...

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rna-seqblog.com /3 weeks ago

New method reconstructs cell evolution from single-cell RNA sequencing data

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...

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journals.plos.org /3 weeks ago

scMagnifier: Resolving fine-grained cell subtypes via GRN-informed perturbations and consensus clustering

by Zhenhui He, Dong Kangning Resolving fine-grained cell subtypes in single-cell RNA sequencing (scRNA-seq) data remains challenging, as their subtle transcriptional differences a...

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journals.plos.org /1 month ago

Supervised deep learning with gene functional annotation for cell classification

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...

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rna-seqblog.com /1 month ago

scFAIR Consortium – a decentralized hub for single-cell RNA-Seq data standardization and unification

A new consortium framework improves how RNA sequencing datasets are standardized, annotated, and shared, enabling more reliable integration and reuse of single-cell transcriptomic...

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journals.plos.org /2 weeks ago

CAdir: Joint clustering of cells and genes for single-cell transcriptomics with visualization-driven cluster quality ass...

by Clemens Kohl, Martin Vingron Clustering for single-cell RNA-seq aims at finding similar cells and grouping them into biologically meaningful clusters. Many available clustering...

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rna-seqblog.com /3 weeks ago

ZINB-GRAN – A ZINB-prior graph adversarial framework for gene regulatory network inference from scRNA-seq data

RNA sequencing combined with graph adversarial learning improved reconstruction of gene regulatory networks and identified cell type-specific regulators in immune and cancer datase...

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rna-seqblog.com /2 weeks ago

HistoMap reconstructs single-cell spatial profiles from bulk RNA sequencing

RNA sequencing combined with artificial intelligence reconstructed single-cell spatial organization from bulk data, revealing immune barriers that may influence colorectal cancer.....

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rna-seqblog.com /3 weeks ago

Multisite assessment of methods for cell preservation upstream of single-cell RNA sequencing

RNA sequencing workflows using preserved cells enable flexible sample collection and support reproducible single-cell analyses across multiple laboratories and processing platforms...

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rna-seqblog.com /1 month ago

Multiple AI models improve cell type identification in single-cell RNA sequencing

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...

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journals.plos.org /1 month ago

CIPHER: An end-to-end framework for designing optimized aggregated spatial transcriptomics experiments

by Zachary Hemminger, Haley De Ocampo, Fangming Xie, Zhiqian Zhai, Jingyi Jessica Li, Roy Wollman Motivation Most imaging-based spatial transcriptomics methods measure individual g...

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rna-seqblog.com /2 weeks ago

How transformer AI models are advancing single-cell RNA sequencing

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...

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rna-seqblog.com /1 day ago

NanoncRNA-seq – an rRNA-depleted full-length transcriptome strategy for identification of novel lncRNA isoforms

A new RNA sequencing workflow using nanopore technology improves full-length lncRNA isoform discovery, revealing many previously undetected transcripts missed by conventional short...

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rna-seqblog.com /1 month ago

Empowering fungal infection research with single-cell RNA sequencing

Single-cell RNA sequencing is helping researchers uncover cellular responses to fungal pathogens, providing new insights into host-pathogen interactions, biomarkers, and potential...

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rna-seqblog.com /1 week ago

ScPanKD – new AI framework improves T cell subtype identification in single cell RNA sequencing

RNA sequencing combined with knowledge distillation improves identification of fine grained T cell subtypes, increasing the accuracy of cancer single cell transcriptomics analyses....

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rna-seqblog.com /1 week ago

Single nucleus RNA sequencing identifies new treatment targets for rare sinonasal cancers

RNA sequencing reveals distinct cellular programs and therapeutic targets in rare sinonasal carcinomas, supporting precision oncology approaches tailored to specific tumor subtypes...

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rna-seqblog.com /1 month ago

Single-cell maps of the tumor microenvironment reveal specialized immune subsets

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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rna-seqblog.com /1 month ago

Perturb-DBiT – mapping cancer biology with spatial CRISPR screening and RNA sequencing

New spatial RNA sequencing technology links large-scale CRISPR perturbations to tumor growth, metastasis, immune responses, and complex RNA regulation within intact tissues... The...

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rna-seqblog.com /1 month ago

New genomic approaches uncover surprising cellular dynamics of the aging brain

Advanced RNA sequencing methods, including IRISeq and EnrichSci, uncover spatial interactions and molecular changes linked to aging in vulnerable brain cell populations...

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rna-seqblog.com /2 weeks ago

Graph AI and Mamba models improve single-cell RNA sequencing cell classification

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...

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journals.plos.org /2 weeks ago

scRADAR: Dissecting intratumoral drug response heterogeneity at single-cell resolution via mechanism-guided prototype ro...

by Ren Qi, Wenjie Teng, Xin Yang, Peng Han, Alexey K. Shaytan, Bin Liu Precision oncology requires resolving intratumoral heterogeneity to identify drug-resistant cell states asso...

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rna-seqblog.com

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