BACKGROUND Adequate normalization minimizes the effects of systematic technical variations and is a prerequisite for getting meaningful biological changes. However, there is inconsistency about miRNA normalization performances and recommendations. Thus, we investigated the impact of seven different normalization methods (reference gene index, global geometric mean, quantile, invariant selection...

AIMS There is a significant uncertainty regarding the effect of testosterone replacement therapy (TRT) on cardiovascular (CV) outcomes including myocardial infarction (MI) and stroke. The aim of this study was to examine the relationship between normalization of total testosterone (TT) after TRT and CV events as well as all-cause mortality in patients without previous history of MI and stroke. ...

Background: Erythrocyte sedimentation rate (ESR) is one of the predictors of improvement in handling rheumatoid arthritis. This study was designed to define and compare the time of achieving normal ESR and also the percentage for the normalization of this marker at several points of time in two different combination therapies.Methods: Fifty-two rheumatoid arthritis patients randomly received me...

In this paper, we develop a novel methodology within the IDCP measuring framework for comparing normalization procedures based on different classification systems of articles into scientific disciplines. Firstly, we discuss the properties of two rankings, based on a graphical and a numerical approach, for the comparison of any pair of normalization procedures using a single classification syste...

This study aims to analyze the performance of machine learning algorithms with data scaling process show method's effectiveness. It uses min-max (normalization) and zero-mean (standardization) techniques in abalone dataset. The stages carried out this included normalization on physical measurement features. model evaluation was using k-fold cross-validation number 10. Abalone datasets were norm...

the aim of this critical appraisal and hazards of surface electromyography (semg) is to enhance the data acquisition quality in voluntary but complex movements, sport and exercise in particular. the methodological and technical registration strategies deal with telemetry and online data acquisition, the placement of the detection electrodes and the choice of the most adequate normalization mode...

Data normalization techniques are a very important initial stage to be carried out in order obtain good predictive data approach. Many researchers get different prediction and error results each use of these techniques. Thereby, this article discusses the accuracy rate seven at preprocessing Neural Network Backpropagation (NNBP) architecture including decimal scaling, Z-score, min-max (there 6 ...

Reservoir Computing (RC) has recently been introduced as an interesting alternative for acoustic modeling. For phone and continuous digit recognition, the reservoir approach obtained quite promising results. In this work, we further elaborate this concept by porting some well-known techniques used to enhance recognition rates of GMM-based models to Reservoir Computing. In particular, we introdu...

Conventional speaker-independent HMMs ignore the speaker di erences and collect speech data in an observation space. This causes a problem that the output probability distribution of the HMMs becomes vague so that it deteriorates the recognition accuracy. To solve this problem, we construct the speaker subspace for an individual speaker and correlate them by o-space canonical correlation analys...

In this paper we describe a speaker-cluster normalization algorithm that we applied to both gendernormalization and speaker-normalization. To achieve parameter sharing the acoustic space is partitioned into classes. A maximum likelihood approach has been proposed under which the delta between the distribution mean and its corresponding acoustic class is mostly speaker-independent, whereas the m...