Sentence examples for methods for regulatory from inspiring English sources
Computational Identification of Plant Transcription Factors and the Construction of the PlantTFDB Database / Jingchu Luo -- 22. Practical Computational Methods for Regulatory Genomics: A cisGRN-Lexicon and cisGRN-Browser for Gene Regulatory Networks / Derek Aguiar -- 23.
This review focuses on the use of replacement in vitro tissue culture methods for regulatory safety assessment in response to REACH and the 7th Amendment to the EU Cosmetics Directive, international criteria for test validation, and the application of new technologies, particularly for miniaturization and high throughput screening.
Here we outline some of the issues and challenges involved in the acceptance of these methods for regulatory purposes.
Many methods for regulatory network reconstruction simply assume a uniform background distribution.
We address these challenges by closely integrating proven methods for regulatory network reverse engineering from mRNA expression data, linearly and non-linearly conserved regulatory region discovery, and TFBS evaluation and discovery.
Over the past 15 years, ICCVAM has successfully evaluated and recommended numerous alternative test methods for regulatory use (NTP 2012).
It is designed as a screening method for regulatory labs to eliminate negative samples, thereby leaving a smaller number of positive samples to be tested with more sophisticated and time-consuming quantitative methods.
To address this research gap, this paper demonstrates a logic-based representation and tree-based visualization method for regulatory requirement.
Saric et al. focused on detecting the noun phrase (NP) of biological entities that use the active and passive voices and proposed the NLP based method for regulatory relationship extraction [17], [18].
Using the method for regulatory network mapping described in the previous subsection, only transcription gene regulatory network data is being mapped from one genome to another, and this does not include any information about the post-transcription regulation process.
At the regulatory sequence level, methods for scoring regulatory potential such as ChromHMM and Segway incorporate diverse data types in order to predict likely regulatory regions [ 3, 54, 55].
