Ranking, selecting, and prioritising genes with desirability functions
In functional genomics experiments, researchers often select genes to follow-up or validate from a long list of differentially expressed genes. Typically, sharp thresholds are used to bin genes into groups such as significant/non-significant or fold change above/below a cut-off value, and ad hoc cri...
Main Author: | Stanley E. Lazic |
---|---|
Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2015-11-01
|
Series: | PeerJ |
Subjects: | |
Online Access: | https://peerj.com/articles/1444.pdf |
Similar Items
-
A Comparative Study of Rank Aggregation Methods in Recommendation Systems
by: Michał Bałchanowski, et al.
Published: (2023-01-01) -
Integrated Analysis of Multiple Microarray Studies to Identify Novel Gene Signatures in Ulcerative Colitis
by: Zi-An Chen, et al.
Published: (2021-07-01) -
Utility function-based generalization of sum of ranking differences–country-wise analysis of greenhouse gas emissions
by: Ádám Ipkovich, et al.
Published: (2024-03-01) -
Integrated Analysis of Multiple Microarray Studies to Identify Novel Gene Signatures in Non-alcoholic Fatty Liver Disease
by: Xi Jia, et al.
Published: (2019-08-01) -
Weighted Distance-Based Models for Ranking Data Using the R Package rankdist
by: Zhaozhi Qian, et al.
Published: (2019-07-01)