Unlock your biological data

?

Differential expression analysis software tools | Single-cell RNA sequencing data analysis

Compared to bulk RNA-seq, scRNA-seq data are affected by higher noise deriving from both technical and biological factors. Technical variability mostly originates from the low amount of available mRNAs that need to be amplified in order to get the quantity suitable for sequencing. The high variability of scRNA-seq data, the presence of dropout events that leads to zero expression measurements, and the multimodality of expression of a number of transcripts, create some challenges for the detection of differentially expressed genes (DEGs), which is one of the main applications of scRNA-seq and the focus of the present work.

Source text:
(Dal Molin et al., 2017) Single-Cell RNA-Sequencing: Assessment of Differential Expression Analysis Methods. Front Genet.

1 - 50 of 59 results
filter_list Filters
build Technology
laptop Operating System
desktop_windows Interface
important_devices Computer Skill
copyright Restriction to use
memory Programming Language
healing Disease
import_contacts Journal
account_balance Funding
1 - 50 of 59 results
0 - 0 of 0 results
1 - 25 of 25 results
filter_list Filters
business_center Job seeker
Disable 12
assignment_ind Position
public Country
memory Programming Language