EMQIT: a machine learning approach for energy based PWM matrix quality improvement
Abstract Background Transcription factor binding affinities to DNA play a key role for the gene regulation. Learning the specificity of the mechanisms of binding TFs to DNA is important both to experimentalists and theoreticians. With the development of high-throughput methods such as, e.g., ChiP-se...
Main Authors: | Karolina Smolinska, Marcin Pacholczyk |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2017-08-01
|
Series: | Biology Direct |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13062-017-0189-y |
Similar Items
-
Identification in silico of putative damage responsive elements (DRE) in promoter regions of the yeast genome
by: Walkiria Luckwu de Santana Silva, et al.
Published: (2005-12-01) -
Application of alternative <i>de novo</i> motif recognition models for analysis of structural heterogeneity of transcription factor binding sites: a case study of FOXA2 binding sites
by: A. V. Tsukanov, et al.
Published: (2021-03-01) -
The Plant NF-Y DNA Matrix <i>In Vitro</i> and <i>In Vivo</i>
by: Nerina Gnesutta, et al.
Published: (2019-10-01) -
Solution-Sensitivity and Comprehensive Mechanism of Lignin Breakdown during the Phosphoric Acid-Acetone Pretreatment Process
by: Wu Qin, et al.
Published: (2013-12-01) -
Improved PWM-OFF-PWM to Reduce Commutation Torque Ripple of Brushless DC Motor Under Braking Conditions
by: Qixun Zhou, et al.
Published: (2020-01-01)