Cargando…
Robust differential expression analysis by learning discriminant boundary in multi-dimensional space of statistical attributes
BACKGROUND: Performing statistical tests is an important step in analyzing genome-wide datasets for detecting genomic features differentially expressed between conditions. Each type of statistical test has its own advantages in characterizing certain aspects of differences between population means a...
Autores principales: | Bei, Yuanzhe, Hong, Pengyu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5168810/ https://www.ncbi.nlm.nih.gov/pubmed/27993137 http://dx.doi.org/10.1186/s12859-016-1386-x |
Ejemplares similares
-
Robust and rigorous identification of tissue-specific genes by statistically extending tau score
por: Lüleci, Hatice Büşra, et al.
Publicado: (2022) -
Methodological concerns about “concordance-statistic for benefit” as a measure of discrimination in predicting treatment benefit
por: Xia, Yuan, et al.
Publicado: (2023) -
Maximum linkage space-time permutation scan statistics for disease outbreak detection
por: Costa, Marcelo A, et al.
Publicado: (2014) -
Statistical-based database fingerprint: chemical space dependent representation of compound databases
por: Sánchez-Cruz, Norberto, et al.
Publicado: (2018) -
A flexibly shaped space-time scan statistic for disease outbreak detection and monitoring
por: Takahashi, Kunihiko, et al.
Publicado: (2008)