Statokinesigram normalization method

Normalization of qPCR array data: a novel method based on procrustes superimposition

MicroRNAs (miRNAs) are short, endogenous non-coding RNAs that function as guide molecules to regulate transcription of their target messenger RNAs. Several methods including low-density qPCR arrays are being increasingly used to profile the expression of these molecules in a variety of different biological conditions. Reliable analysis of expression profiles demands removal of technical variati...

cDNA Microarray Data Normalization

A semantic method to prove strong normalization from weak normalization (draft)

1 Minimal deduction modulo 1.1 Syntax We consider a set (T) of sorts, an infinite set of variables of each sort, a set (f) of function symbols, and a set (P) of predicate symbols, that come with their rank. The formation rules for objects and propositions are the usual ones. – Variables of sort T are terms of sort T. Propositions are built-up from atomic propositions with the usual connective ⇒...

An Advanced Method for Iris Segmentation and Normalization

Iris is a desirable biometric representation of an individual for security-related applications. However the iris segmentation and normalization process is challenging due to the presence of eye lashes that occlude the iris, the dilation of pupils due to different light illumination and several other uncontrolled factors. In this work, we enhanced Daugman method to locate the iris and normalize...

An Optimized Method for Arabic Cross-Document Named Entity Normalization

This paper presents a technique to perform Arabic cross-document named entity normalization. The proposed method offers significant time improvement over conventional nxn comparisons performed between named entities. It relies on a novel efficient algorithm that avoids normalizing the new entities against all existing entities. Only a single candidate from the normalized entities is chosen to b...