OutPyR: Bayesian inference for RNA-Seq outlier detection
<p dir="ltr">High-throughput RNA sequencing technologies (RNA-Seq) have recently started being used as a tool for helping diagnose rare genetic disorders, as they can indicate abnormal gene expression counts — a telltale sign of genetic pathology. Existing solutions either require a...
Saved in:
| Main Author: | Edin Salkovic (16891479) (author) |
|---|---|
| Other Authors: | Mostafa M. Abbas (17058093) (author), Samir Brahim Belhaouari (9427347) (author), Khaoula Errafii (10914446) (author), Halima Bensmail (10400) (author) |
| Published: |
2020
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Novel Bayesian Outlier Score Based on the Negative Binomial Distribution for Detecting Aberrantly Expressed Genes in RNA-Seq Gene Expression Count Data
by: Edin Salkovic (16891479)
Published: (2021) -
OutSingle: a novel method of detecting and injecting outliers in RNA-Seq count data using the optimal hard threshold for singular values
by: Edin Salkovic (16891479)
Published: (2023) -
Outlier Detection Using the Relative Range Distribution
by: Dallah, Dania
Published: (2024) -
Using Probability Binning and Bayesian Inference to measure Euclidean Distance of Flow Cytometric data
by: Mohamed, Rasha Mahmoud Abdel Salam
Published: (2014) -
Bayesian neural tree models for nonparametric regression
by: Chakraborty, Tanujit
Published: (2023)