The bioinformatics discipline seeks to solve problems in biology with computational theories and methods. Formal concept analysis (FCA) is one such theoretical model, based on partial orders. FCA allows the user examine structural properties of data which subsets dataset depend each other. This article surveys current literature related use for bioinformatics. survey begins a discussion FCA, it...

In the current investigation, leaching behaviour of cobalt (Co), copper (Cu), iron (Fe), zinc (Zn), calcium (Ca), arsenic (As), cadmium (Cd), chromium (Cr), mercury (Hg), nickel (Ni), lead (Pb) and selenium (Se) from fresh aged Ferrochrome Ash (FCA) samples were studied under various pH conditions (3-11). Results reveal that most elements follow oxyanionic pattern where increase in increases ef...

The contralateral uninjected hind paws of rats which had been injected with Freund's complete (FCA) or incomplete (FIA) adjuvant 10,14, 18, or 22 days previously were perfused under urethane anaesthesia using a stainless steel coaxial catheter. In one series of experiments cyclic AMP (cAMP) levels were determined after a 2-hour perfusion. cAMP levels were also determined in rats treated on days...

Adjuvant formulations capable of inducing high titer and high affinity antibody responses would provide a major advance in the development of vaccines to viral infections such as HIV-1. Although oil-in-water emulsions, such as Freund's adjuvant (FCA/FIA), are known to be potent, their toxicity and reactogenicity make them unacceptable for human use. Here, we explored different adjuvants and com...

Acyclic Join Dependencies (AJD) play a crucial role in database design and normalization. In this paper, we use Formal Concept Analysis (FCA) to characterize a set of AJDs that hold in a given dataset. This present work simplifies and generalizes the characterization of Multivalued Dependencies with FCA.

Formal concept analysis (FCA) can be used for designing concept lattices from binary data for knowledge discovery purposes. Pattern structures in FCA are able to deal with complex data. In addition, this formalism provides a concise and an efficient algorithmic view of the formalism of symbolic data analysis (SDA).

We demonstrate how one can use the formal concept analysis (FCA) to obtain the role hierarchy for the role based access control from the existing access control matrix. We also discuss assesed by means of FCA the quality of security system and finding users with excess permissions.

Currently, there is a growing interesting in emotion recognition. Representation of emotional states very challenging issue. Considering the calculation cost and generalization capability for practical application, series features which contain common time frequency domain are extracted from physiological signals to represent different states. To reduce feature dimensionality improve recognitio...

LCM is an algorithm for enumeration of frequent closed itemsets in transaction databases. It well known that when we ignore the required frequency, are exactly intents formal concepts Formal Concept Analysis (FCA). We describe terms FCA and show basically Close-by-One with multiple speed-up features processing sparse data. analyze compare them those similar algorithms, like FCbO algorithms from...