نتایج جستجو برای: microarray

تعداد نتایج: 47705  

BACKGROUND: Aflatoxin B1 (AFB1) is a toxic metaboliteproduced by Aspergillus species that contaminates a wide range ofagricultural products. OBJECTIVES: This study was designed todevelop a rapid and highly sensitive immunoassay method inmicroarray format for quantitative detection of AFB1 to evaluatethe potential of microarray platform for high-throughput screening,which can be beneficial in fo...

ژورنال: پژوهش در پزشکی 2013
شیروی خوزانی, معصومه, صولت یکانی, سید فرید, مجد, زهرا, مرادی, افشین,

Abstract Background: Meningioma is the most common CNS tumor association of this tumor with specific markers P53, Ki67 has been reported in some studies. This study was done with the aim of determining the frequency of these markers in patients presenting with meningioma in a teaching hospital in Tehran. Materials and methods: This cross-sectional study was done on samples obtained from all pat...

Journal: :Journal of Scientific & Industrial Research 2023

Autism spectrum disorder is a complex neurodevelopment that affects an individual's social behavior. Microarray analysis extensively used technique to detect autism. data can provide additional insight into the etiology of disorder. Identifying specific set genes associated with autism from microarray poses significant research challenge due its high dimensionality. However, Gene subset selecti...

ژورنال: پژوهش در پزشکی 2007
محرابی, یدالله, نقوی, بهار, علوی مجد, حمید, واحدی, محسن,

Background: Microarray DNA technology has paved the way for investigators to expressed thousands of genes in a short time. Analysis of this big amount of raw data includes normalization, clustering and classification. The present study surveys the application of clustering technique in microarray DNA analysis. Materials and methods: We analyzed data of Van’t Veer et al study dealing with BRCA1...

ژورنال: محاسبات نرم 2017

Nowadays, increasing the volume of data and the number of attributes in the dataset has reduced the accuracy of the learning algorithm and the computational complexity. A dimensionality reduction method is a feature selection method, which is done through filtering and wrapping. The wrapper methods are more accurate than filter ones but perform faster and have a less computational burden. With ...

Journal: :Wiley Interdisciplinary Reviews: Systems Biology and Medicine 2010

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