Results 81 to 90 of about 188,901 (238)

Transformation Based Tri-Level Feature Selection Approach Using Wavelets and Swarm Computing for Prostate Cancer Classification

open access: yesIEEE Access, 2020
Prostate Cancer is a cancer that occurs in the prostate- a small walnut shaped gland in men. This gland helps in the production of seminal fluid which is used to nourish and transport the sperm.
Sunil Kumar Prabhakar, Seong-Whan Lee
doaj   +1 more source

Application of COMPOCHIP Microarray to Investigate the Bacterial Communities of Different Composts [PDF]

open access: yes, 2009
A microarray spotted with 369 different 16S rRNA gene probes specific to microorganisms involved in the degradation process of organic waste during composting was developed. The microarray was tested with pure cultures, and of the 30,258 individual probe-
A Alfreider   +54 more
core   +1 more source

A comparison on effects of normalisations in the detection of differentially expressed genes

open access: yesBMC Bioinformatics, 2009
Background Various normalisation techniques have been developed in the context of microarray analysis to try to correct expression measurements for experimental bias and random fluctuations.
Risso Davide   +3 more
doaj   +1 more source

The OncoFinder algorithm for minimizing the errors introduced by the high-throughput methods of transcriptome analysis

open access: yesFrontiers in Molecular Biosciences, 2014
The diversity of the installed sequencing and microarray equipment make it increasingly difficult to compare and analyze the gene expression datasets obtained using the different methods.
Anton A. Buzdin   +17 more
doaj   +1 more source

Inferring causal relations from multivariate time series : a fast method for large-scale gene expression data [PDF]

open access: yes, 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

Stability of Ranked Gene Lists in Large Microarray Analysis Studies

open access: yesJournal of Biomedicine and Biotechnology, 2010
This paper presents an empirical study that aims to explain the relationship between the number of samples and stability of different gene selection techniques for microarray datasets.
G. Štiglic, P. Kokol
semanticscholar   +1 more source

Stable Feature Selection for Biomarker Discovery [PDF]

open access: yes, 2010
Feature selection techniques have been used as the workhorse in biomarker discovery applications for a long time. Surprisingly, the stability of feature selection with respect to sampling variations has long been under-considered.
He, Zengyou, Yu, Weichuan
core   +2 more sources

A Comparative Study of Techniques for Differential Expression Analysis on RNA-Seq Data

open access: yesbioRxiv, 2014
Recent advances in next-generation sequencing technology allow high-throughput cDNA sequencing (RNA-Seq) to be widely applied in transcriptomic studies, in particular for detecting differentially expressed genes between groups.
Zong-Hong Zhang   +10 more
semanticscholar   +1 more source

Profound effect of profiling platform and normalization strategy on detection of differentially expressed microRNAs [PDF]

open access: yes, 2012
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.
Kaiser, Sebastian   +4 more
core   +1 more source

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