Video Experimental Relacionado

Updated: Feb 27, 2026

Identification of Circular RNAs using RNA Sequencing
08:25

Identification of Circular RNAs using RNA Sequencing

Published on: November 14, 2019

12.8K

scDBic: Un nuevo algoritmo de biclustering basado en aprendizaje profundo para analizar datos de scRNA-seq

Xiaoqi Tang1, Caihua Liu1, Chaowang Lan1

  • 1School of Artificial Intelligence, Guilin University of Electronic Technology, Guilin, China.

Bioinformatics (Oxford, England)
|February 26, 2026
PubMed
Resumen

No abstract available in PubMed .

Palabras clave:
AutoencoderBiclusteringKey Gene ClustersScRNA-seqShared Nearest Neighbor Graph

Más Videos Relacionados

Author Spotlight: A Computational Pipeline for Analyzing Chimeric Noncoding RNA-Target RNA Interactions in High-Throughput Sequencing Data07:35

Author Spotlight: A Computational Pipeline for Analyzing Chimeric Noncoding RNA-Target RNA Interactions in High-Throughput Sequencing Data

Published on: December 1, 2023

1.2K
Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

7.4K

Videos de Conceptos Relacionados

RNA-seq03:21

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
12.2K