Clustering column-mean quantile median: a new methodology for imputing missing data
Journal of Engineering and Applied Science, 2022 DNA microarray data sets have been widely explored and used to analyze data without any previous biological background. However, analyzing them becomes challenging if data are missing.
Nourhan Yehia +2 more
doaj +1 more source
Physico-chemical foundations underpinning microarray and next-generation sequencing experiments [PDF]
, 2013 Hybridization of nucleic acids on solid surfaces is a key process involved in high-throughput technologies such as microarrays and, in some cases, next-generation sequencing (NGS).
A. Buhot +70 more
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Macroecology of methane-oxidizing bacteria: the β-diversity of pmoA genotypes in tropical and subtropical rice paddies [PDF]
, 2013 Studies addressing microbial biogeography have increased during the past decade, but research on microbial distribution patterns is still in its infancies, and many aspects are only poorly understood. Here, we compared the methanotroph community in paddy
Fiantis, Dian +7 more
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Mfuzz: A software package for soft clustering of microarray data
Bioinformation, 2007 For the analysis of microarray data, clustering techniques are frequently used. Most of such methods are based on hard clustering of data wherein one gene (or sample) is assigned to exactly one cluster.
Lokesh Kumar, Matthias E. Futschik
semanticscholar +1 more source
Consensus clustering and functional interpretation of gene-expression data [PDF]
, 2004 Microarray analysis using clustering algorithms can suffer from lack of inter-method consistency in assigning related gene-expression profiles to clusters.
Kellam, P. +6 more
core +2 more sources
The Impact of Photobleaching on Microarray Analysis
Biology, 2015 DNA-Microarrays have become a potent technology for high-throughput analysis of genetic regulation. However, the wide dynamic range of signal intensities of fluorophore-based microarrays exceeds the dynamic range of a single array scan by far, thus ...
Marcel von der Haar +5 more
doaj +1 more source
Inferring causal relations from multivariate time series : a fast method for large-scale gene expression data [PDF]
, 2009 Various multivariate time series analysis techniques have been developed with the aim of inferring causal relations between time series. Previously, these techniques have proved their effectiveness on economic and neurophysiological data, which normally ...
Li, Chang-Tsun, Yuan, Yinyin
core +1 more source
IEEE Access, 2019 The problem of gridding microarray images remains a challenging task. This is because microarray images are usually contaminated with noise and artifacts, such as low intensity and poor quality spots.
Mary Monir Saeid +2 more
doaj +1 more source
Pre-implantation Genetic Testing for Aneuploidy (PGT-A)
Thai Journal of Obstetrics and Gynaecology, 2020 Preimplantation genetic diagnosis (PGD) or embryo selection was first performed in 1989 using PCR for gender selection to avoid X-linked recessive disorder. However, there was a misdiagnosis due to allele drop out (ADO). Therefore, fluorescent in situ
Wirawit Piyamongkol
doaj +1 more source
Feature selection and classification approaches in gene expression of breast cancer
AIMS Biophysics, 2021 DNA microarray technology with biological data-set can monitor the expression levels of thousands of genes simultaneously. Microarray data analysis is important in phenotype classification of diseases.
Sarada Ghosh +2 more
doaj +1 more source