Characterization of bio-chemical signals by inductive logic programming

Default Logic for Diagnostic of Discrete Time System

“…In attempts to describe the behavior of living systems, where the deductive model is not successful, the process by qualitative reasoning based on the function of molecules has shown its limits [4]. Similarly, if the properties are known, we cannot clearly deduce their function in the living cell, and from the characteristics of living cells, calculate their behavior in a given environment.…”

“…Most of these reactions, which take place in a cell, are catalyzed by special molecules called enzymes. Such a large amount of data on the signaling is represented as a network, called a signaling pathway, and has been stored and maintained in a database on a large scale [4]. Fig.…”

“…(3) Verify that the prerequisites A x (X) are true, (4) Verify that the justifications B y (X) are consistent with W, (5) Verify that the consequent C(X) is consistent with W, (6) Add B y (X) and C(X) to W. The question is then formally described by possible. We use here a non-monotonic logic of the best known, default logic.…”

Detection and characterization of physiological states in bioprocesses based on Hölder exponent

“…However, no reliable technique exist to carry out real-time measurement of non-volatile substrates and metabolites in the fermentor. Several works using various approaches, lead to the conclusion that the limits of a state are linked to the singularities of biochemical signals: Steyer et al [22] (using expert system and fuzzy logic), Bakshi and Stephanopoulos [1] (using expert system and wavelets) and Doncescu et al [3] (using inductive logic) show that the beginning and the end of a state correspond to singularities of the biochemical signals measured during the process. In a fedbatch bioprocess, a physiological state can occur several times during the experience.…”

A new relational Tri-training system with adaptive data editing for inductive logic programming

“…In recent years, ILP has been applied successfully to a number of real-world fields, such as structure-activity for drug design [4], characterization of bio-chemical signals [5], gene regulation prediction [6] and protein-protein interactions [7,8].…”