Jaccard index based similarity measure to compare transcription factor binding site models
نویسندگان
چکیده
منابع مشابه
An IFS-Based Similarity Measure to Index Electroencephalograms
EEG is a very useful neurological diagnosis tool, inasmuch as the EEG exam is easy to perform and relatively cheap. However, it generates large amounts of data, not easily interpreted by a clinician. Several methods have been tried to automate the interpretation of EEG recordings. However, their results are hard to compare since they are tested on different datasets. This means a benchmark data...
متن کاملApplying a Lexical Similarity Measure to Compare Portuguese Term Collections
The number of ontologies publicly available and accessible through the web has increased in the last years, so that the task of finding similar terms among these structures becomes mandatory. We depict the application and the evaluation of a new similarity measure for comparing Portuguese Ontological Structures (OSs) called Lexical Similarity (LS). This paper describes contributions to the stud...
متن کاملUnilateral Jaccard Similarity Coefficient
Similarity measures are essential to solve many pattern recognition problems such as classification, clustering, and retrieval problems. Various similarity measures are categorized in both syntactic and semantic relationships. In this paper we present a novel similarity, Unilateral Jaccard Similarity Coefficient (uJaccard), which doesn’t only take into consideration the space among two points b...
متن کاملDynamics of Transcription Factor Binding Site Evolution
Evolution of gene regulation is crucial for our understanding of the phenotypic differences between species, populations and individuals. Sequence-specific binding of transcription factors to the regulatory regions on the DNA is a key regulatory mechanism that determines gene expression and hence heritable phenotypic variation. We use a biophysical model for directional selection on gene expres...
متن کاملA biophysical approach to transcription factor binding site discovery.
Identification of transcription factor binding sites within regulatory segments of genomic DNA is an important step toward understanding of the regulatory circuits that control expression of genes. Here, we describe a novel bioinformatics method that bases classification of potential binding sites explicitly on the estimate of sequence-specific binding energy of a given transcription factor. Th...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Algorithms for Molecular Biology
سال: 2013
ISSN: 1748-7188
DOI: 10.1186/1748-7188-8-23