Cargando…
A longitudinal feature selection method identifies relevant genes to distinguish complicated injury and uncomplicated injury over time
BACKGROUND: Feature selection and gene set analysis are of increasing interest in the field of bioinformatics. While these two approaches have been developed for different purposes, we describe how some gene set analysis methods can be utilized to conduct feature selection. METHODS: We adopted a gen...
Autores principales: | Tian, Suyan, Wang, Chi, Chang, Howard H. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6284265/ https://www.ncbi.nlm.nih.gov/pubmed/30526581 http://dx.doi.org/10.1186/s12911-018-0685-8 |
Ejemplares similares
-
To select relevant features for longitudinal gene expression data by extending a pathway analysis method
por: Tian, Suyan, et al.
Publicado: (2018) -
Feature Selection for Longitudinal Data by Using Sign Averages to Summarize Gene Expression Values over Time
por: Tian, Suyan, et al.
Publicado: (2019) -
Systemic inflammatory markers for distinguishing uncomplicated and complicated acute appendicitis in adult patients
por: Yesilalioglu, Secil, et al.
Publicado: (2023) -
Weighted-SAMGSR: combining significance analysis of microarray-gene set reduction algorithm with pathway topology-based weights to select relevant genes
por: Tian, Suyan, et al.
Publicado: (2016) -
GEE-TGDR: A Longitudinal Feature Selection Algorithm and Its Application to lncRNA Expression Profiles for Psoriasis Patients Treated with Immune Therapies
por: Tian, Suyan, et al.
Publicado: (2021)