Higher-order partial least squares for predicting gene expression levels from chromatin states
Abstract Background Extensive studies have shown that gene expression levels are strongly affected by chromatin mark combinations via at least two mechanisms, i.e., activation or repression. But their combinatorial patterns are still unclear. To further understand the relationship between histone mo...
Main Authors: | Shiquan Sun, Xifang Sun, Yan Zheng |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2018-04-01
|
Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12859-018-2100-y |
Similar Items
-
Partial Least Square Approach to Second Order Factor in Behavioural Study of Accounting Information System
by: Ibrahim Mohd Tarmizi, et al.
Published: (2017-01-01) -
Novel Kernel Orthogonal Partial Least Squares for Dominant Sensor Data Extraction
by: Bo-Wei Chen
Published: (2020-01-01) -
Partial Least Squares Regression Methods with Application of Mas Cement Factory in Sulaymaniyah Governorate
by: Sherin mohyaldeen, et al.
Published: (2022-06-01) -
PARTIAL LEAST SQUARE PADA PENGUKURAN USABILITAS APLIKASI SIMKOPSYAH
by: Lutfiyah Dwi Setia
Published: (2017-08-01) -
Interval partial least squares and moving window partial least squares in determining the enantiomeric composition of tryptophan by using UV-Vis spectroscopy
by: Jiao Long, et al.
Published: (2016-01-01)