Abstract. Biclustering is an intrinsically challenging and highly complex problem, particularly studied in the biology field, where the goal is to ...
In this paper we present a novel approach to gene expression biclustering by providing a binary Factor Graph formulation to such problem. In more detail, we ...
Biclustering represents an intrinsically complex problem, where the aim is to perform a simultaneous row- and column-clustering of a given data matrix.
Biclustering represents an intrinsically complex problem, where the aim is to perform a simultaneous row- and column-clustering of a given data matrix.
In this paper we present a novel approach to gene expression biclustering by providing a binary Factor Graph formulation to such problem. In more detail, we ...
2016. Biclustering gene expressions using factor graphs and the max-sum algorithm. M Denitto, A Farinelli, M Bicego. Twenty-Fourth International Joint ...
In this paper we present a novel approach to gene expression biclustering by providing a binary Factor Graph formulation to such problem. In more detail, we ...
In this paper we introduce Time-Series constraints forcing biclustering solution to have contiguous columns. We optimize the model by using the Max-Sum ...
ABSTRACT. Biclustering regards the simultaneous clustering of both rows and columns of a given data matrix. A specific applica-.
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Biclustering is an important tool to find patterns in a microarray data matrix by simultaneous classification in two dimensions of genes and conditions.