Results 81 to 90 of about 557,537 (198)
BMC Medical Informatics and Decision Making, 2003 Background Tissue Microarrays (TMAs) allow researchers to examine hundreds of small tissue samples on a single glass slide. The information held in a single TMA slide may easily involve Gigabytes of data.
Edgerton Mary E +2 more
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Microarray Data Analysis [PDF]
, 2012 I met Terry when I was a beginning graduate student in the Department of Statistics at UC Berkeley. The first year is the time when bright-eyed and idealistic graduate students start thinking about what they want to do for the next 30 years of their lives, or at least until they are handed their PhD diploma and a job offer from Wall Street.
openaire +1 more source
Effect of pooling samples on the efficiency of comparative studies using microarrays
, 2005 Many biomedical experiments are carried out by pooling individual biological samples. However, pooling samples can potentially hide biological variance and give false confidence concerning the data significance.
Agrawal +8 more
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Frontiers in GeneticsBackgroundCancer rates are rising rapidly, causing global mortality. According to the World Health Organization (WHO), 9.9 million people died from cancer in 2020. Machine learning (ML) helps identify cancer early, reducing deaths.
Pinakshi Panda +7 more
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A-MADMAN: Annotation-based microarray data meta-analysis tool
BMC Bioinformatics, 2009 Background Publicly available datasets of microarray gene expression signals represent an unprecedented opportunity for extracting genomic relevant information and validating biological hypotheses.
Romualdi Chiara +6 more
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SMAGEXP: a galaxy tool suite for transcriptomics data meta-analysis
, 2018 Bakground: With the proliferation of available microarray and high throughput sequencing experiments in the public domain, the use of meta-analysis methods increases.
Blanck, Samuel, Marot, Guillemette
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DiagnosticsBackground: Ovarian cancer is a difficult and lethal illness that requires early detection and precise classification for effective therapy. Microarray technology has permitted the simultaneous assessment of hundreds of genes’ expression levels, yielding
Zne-Jung Lee +3 more
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Copula-Based Bayesian Model for Detecting Differential Gene Expression
AnalyticsDeoxyribonucleic acid, more commonly known as DNA, is a fundamental genetic material in all living organisms, containing thousands of genes, but only a subset exhibit differential expression and play a crucial role in diseases.
Prasansha Liyanaarachchi +1 more
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Robust Likelihood-Based Survival Modeling with Microarray Data
Journal of Statistical Software, 2008 Gene expression data can be associated with various clinical outcomes. In particular, these data can be of importance in discovering survival-associated genes for medical applications.
HyungJun Cho +4 more
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IEEE AccessMicroarray data is of great significance for cancer identification at the gene level. In the microarray dataset, only a small number of characteristic genomes have significant classification and identification rates for cancer.
Zong-Zheng Li +4 more
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