Sugarcane phytocystatins: Identification, classification and expression pattern analysis

An Improved Fuzzy Neural Network for Solving Uncertainty in Pattern Classification and Identification

Dealing with uncertainty is one of the most critical problems in complicatedpattern recognition subjects. In this paper, we modify the structure of a useful UnsupervisedFuzzy Neural Network (UFNN) of Kwan and Cai, and compose a new FNN with 6 types offuzzy neurons and its associated self organizing supervised learning algorithm. Thisimproved five-layer feed forward Supervised Fuzzy Neural Netwo...

Pattern classification and scene analysis

Genome-wide identification, characterization and expression profile analysis of expansins gene family in sugarcane (Saccharum spp.)

Expansins refer to a family of closely related non-enzymatic proteins found in the plant cell wall that are involved in the cell wall loosening. In addition, expansins appear to be involved in different physiological and environmental responses in plants such as leaf and stem initiation and growth, stomata opening and closing, reproduction, ripening and stress tolerance. Sugarcane (Saccharum sp...

Aluminium-responsive genes in sugarcane: identification and analysis of expression under oxidative stress.

Suppression subtractive hybridization (SSH) technology was used to gain preliminary insights into gene expression induced by the phytotoxic aluminium species, Al(3+), in sugarcane roots. Roots of hydroponically-grown Saccharum spp. hybrid cv. N19 were exposed to 221 microM Al(3+) at pH 4.1 for 24 h, a regime shown to inhibit root elongation by 43%, relative to unchallenged roots. Database compa...

Pattern classification by convex analysis

A useful discriminant vector for pattern classification is one that maximizes the minimum separation of discriminant function values for two pattern classes. This optimality criterion can prove valuable in many situations because it emphasizes the class elements that are most difficult to classify. A method for computing this discriminant vector by quadratic programming is derived. The resultin...