Results 61 to 70 of about 557,537 (198)

The False Discovery Rate in Simultaneous Fisher and Adjusted Permutation Hypothesis Testing on Microarray Data

Majallah-i Dānishgāh-i ̒Ulūm-i Pizishkī-i Qum, 2019
Background and Objectives: In recent years, new technologies have led to produce a large amount of data and in the field of biology, microarray technology has also dramatically developed.
Mohsen Salehi, Issac Almasi
doaj  

Hybrid Gene Selection Algorithm for Cancer Classification Using Nuclear Reaction Optimization (NRO)

Current Issues in Molecular Biology
Microarray gene expression data are characterized by high dimensionality and small sample sizes, which complicates cancer classification tasks. To address these challenges, this study proposes a hybrid gene selection approach that integrates a filter ...
Shahad Alkamli, Hala Alshamlan
doaj   +1 more source

Deciphering Alzheimer’s disease transcriptomics: exploration and validation of core genes in tau and Aβ pathological models toward novel therapeutic targets

Frontiers in Aging Neuroscience
IntroductionTo decode the pathology of Alzheimer’s disease (AD), this study employs multi-omics approaches and bioinformatics analyses to explore AD-associated differentially expressed genes (DEGs), dissect the underlying mechanisms, and thereby ...
Hui E. Zhang, Meng Li Xiao, Jin Jin Ji, Yu Rong Cheng, Fang Lu   +4 more
doaj   +1 more source

Temporal Bayesian classifiers for modelling muscular dystrophy expression data [PDF]

, 2006
The analysis of microarray data from time-series experiments requires specialised algorithms, which take the temporal ordering of the data into account. In this paper we explore a new architecture of Bayesian classifier that can be used to understand how
Hoen, PAC't, Liu, X, Tucker, A, Vinciotti, V   +3 more
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A Framework to Discover Emerging Patterns for Application in Microarray Data [PDF]

, 2003
Various supervised learning and gene selection methods have been used for cancer diagnosis. Most of these methods do not consider interactions between genes, although this might be interesting biologically and improve classification accuracy.
Boulesteix, Anne-Laure, Tutz, Gerhard
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Bioinformatics and Experimental Evaluation of UBE2W and SSX2IP Expression Levels in HepG2 Cancer Cells Treated with Melatonin

Journal of Mazandaran University of Medical Sciences, 2021
Background and purpose: The aim of this study was to bioinformatically and experimentally evaluate the effect of melatonin on the expression levels of UBE2W and SSX2IP genes in melatonin treated Human Hepatocellular carcinoma G2 (HepG2) cancer cell line.
Ali Rajabi, Ali Emami, Behnaz Barzegarzadeh Namarvar, Reza Safaralizadeh   +3 more
doaj  

Neural network analysis of lymphoma microarray data: prognosis and diagnosis near-perfect

BMC Bioinformatics, 2003
Background Microarray chips are being rapidly deployed as a major tool in genomic research. To date most of the analysis of the enormous amount of information provided on these chips has relied on clustering techniques and other standard statistical ...
Song Li, O'Neill Michael C
doaj   +1 more source

Microarray Data Analysis [PDF]

, 2008
Cieľom tejto bakalárskej práce je popísať technológiu a analýzu komplementárnych DNA čipov. Predstavené sú niektoré algoritmy využívané pri analýze.
Vogel, Ivan
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Microarray Data Interpretation [PDF]

, 2008
Tato práce se zabývá interpretací dat získaných pomocí technologie biočipů. Práce obsahuje také krátký úvod do problematiky genetické informace a jejího významu. Jádrem práce je pak sada skriptů provádějící analýzy nad testovacími daty. Jako vstupní data
Ludwig, Petr
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Web-based Tools for the Analysis of DNA Microarrays [PDF]

, 2008
End of project reportDNA microarrays are widely used for gene expression profiling. Raw data resulting from microarray experiments, however, tends to be very noisy and there are many sources of technical variation and bias.
Geeleher, P., Golden, A., Hinde, J., Morris, Dermot G.   +3 more
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