Abstract — The precise inner workings of cellular mechanisms remain largely unknown and, therefore, their modeling is usually based on conjectures. The availability of large amounts of genetic data, and the lack of abstract mathematical models, makes computer algorithms the only tool available for searching for these hypothetical realities. We call the conjectured algorithmic-independent reality that underlies the method design and intention, the semantics of the algorithm. This article is a brief semantics analysis exercise performed with four binary quantization algorithms for time series of gene expression data. Keywords- binary quantization; gene expression; quantitative semantics I
abstract: Threshold logic has been studied by at least two independent group of researchers. One gro...
The complexity of biological systems is encoded in gene regulatory networks. Unravelling this intric...
The complexity of biological systems is encoded in gene regulatory networks. Unravelling this intric...
A gene is a part of Deoxyribonucleic acid (DNA), which contains all the information required to anal...
Gene expression is the most fundamental embodiment of an organism’s physiology. Mapping gene express...
Background: Reconstructing regulatory networks from gene expression profiles is a challenging probl...
Several experimental techniques are available nowadays to study the spectrum of genes expressed in a...
Gene selection methods aim at determining biologically relevant subsets of genes in DNA microarray e...
Biology offers a huge amount and variety of data to be processed. Such data has to be stored, analys...
Abstract Background One of the challenges with modeling the temporal progression of biological signa...
Abstract: The complexity of biological systems is encoded in gene regulatory networks. Unravelling t...
The complexity of biological systems is encoded in gene regulatory networks. Unravelling this intric...
AbstractMany problems in the field of computational biology consist of the analysis of so-called gen...
The complexity of biological systems is encoded in gene regulatory networks. Unravelling this intric...
In this thesis we are concerned with constructing algorithms that address problems of biological rel...
abstract: Threshold logic has been studied by at least two independent group of researchers. One gro...
The complexity of biological systems is encoded in gene regulatory networks. Unravelling this intric...
The complexity of biological systems is encoded in gene regulatory networks. Unravelling this intric...
A gene is a part of Deoxyribonucleic acid (DNA), which contains all the information required to anal...
Gene expression is the most fundamental embodiment of an organism’s physiology. Mapping gene express...
Background: Reconstructing regulatory networks from gene expression profiles is a challenging probl...
Several experimental techniques are available nowadays to study the spectrum of genes expressed in a...
Gene selection methods aim at determining biologically relevant subsets of genes in DNA microarray e...
Biology offers a huge amount and variety of data to be processed. Such data has to be stored, analys...
Abstract Background One of the challenges with modeling the temporal progression of biological signa...
Abstract: The complexity of biological systems is encoded in gene regulatory networks. Unravelling t...
The complexity of biological systems is encoded in gene regulatory networks. Unravelling this intric...
AbstractMany problems in the field of computational biology consist of the analysis of so-called gen...
The complexity of biological systems is encoded in gene regulatory networks. Unravelling this intric...
In this thesis we are concerned with constructing algorithms that address problems of biological rel...
abstract: Threshold logic has been studied by at least two independent group of researchers. One gro...
The complexity of biological systems is encoded in gene regulatory networks. Unravelling this intric...
The complexity of biological systems is encoded in gene regulatory networks. Unravelling this intric...