In Situ Hybridization Markets and Company Analysis 2025-2033: Shares Data for Products, Techniques, Applications, End Users, Countries

The "In Situ Hybridization Market Report by Product, Technique, Application, End User, Countries and Company Analysis ...
News-Medical.Net

MD Anderson and SOPHiA GENETICS join forces to accelerate data-driven cancer care

The University of Texas MD Anderson Cancer Center and SOPHiA GENETICS today announced a strategic collaboration that unites ...
Medindia

Fatty Diet Crisis: Why Liver Cells Trade Function for Survival

A high-fat diet forces liver cells to adapt for survival rather than function, creating metabolic stress that affects ...
eLife

Translational reading frame determines the pathogenicity of C-terminal frameshift deletions in MeCP2: an alternative therapeutic approach

This study offers important insight into the pathogenic basis of intragenic frameshift deletions in the carboxy-terminal domain of MECP2, which account for some Rett syndrome cases, yet similar ...
Frontiers

From bench to bytes: a practical guide to RNA sequencing data analysis

RNA sequencing (RNA-Seq) is a high-throughput sequencing approach that enables comprehensive quantification of transcriptomes at a genome-wide scale. As a result, RNA-Seq has become a routine ...
Labroots

Clinical applications of Sanger sequencing and fragment analysis via capillary electrophoresis and an introduction to the SeqStudio Flex Dx Genetic Analyzer

Due to its high accuracy and fast, simple workflow, capillary electrophoresis (CE) is a foundational technology for clinical applications. CE is an invaluable tool used to detect genetic variations ...
eLife

The impact of ambient contamination on demultiplexing methods for single-nucleus multiome experiments

This study introduces ambisim, a rigorously validated and well-documented simulation framework that enables the generation of synthetic, genotype-aware single-cell RNA and ATAC sequencing datasets ...
IEEE

Surrogate-Assisted Multiobjective Gene Selection for Cell Classification From Large-Scale Single-Cell RNA Sequencing Data

Abstract: Accurate cell classification is crucial but expensive for large-scale single-cell RNA sequencing (scRNA-seq) analysis. Gene selection (GS) emerges as a pivotal technique in identifying gene ...
C&EN

scGANSL: Graph Attention Network with Subspace Learning for scRNA-seq Data Clustering

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jcim.5c00731. Comparison of model complexity between scGANSL and other ...