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N. Cattini

dblp:84/1910 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2005
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › gene expression analysis
microarray experimental design
0.112005
An experimental evaluation of a loop versus a reference design for two-channel microarrays · Bioinform. 2005
Bioinformatics and computational biology
gene expression analysis
0.012005
An experimental evaluation of a loop versus a reference design for two-channel microarrays · Bioinform. 2005

Methods — techniques the papers use, named apart from their topics

simulation study · 0.1reference design · 0.1loop design · 0.1
YearPublicationVenuePosition
2005 An experimental evaluation of a loop versus a reference design for two-channel microarrays
abstract
MOTIVATION: Despite theoretical arguments that so-called 'loop designs' for two-channel DNA microarray experiments are more efficient, biologists continue to use 'reference designs'. We describe two sets of microarray experiments with RNA from two different biological systems (TPA-stimulated mammalian cells and Streptomyces coelicolor). In each case, both a loop and a reference design were used with the same RNA preparations with the aim of studying their relative efficiency. RESULTS: The results of these experiments show that (1) the loop design attains a much higher precision than the reference design, (2) multiplicative spot effects are a large source of variability, and if they are not accounted for in the mathematical model, for example, by taking log-ratios or including spot effects, then the model will perform poorly. The first result is reinforced by a simulation study. Practical recommendations are given on how simple loop designs can be extended to more realistic experimental designs and how standard statistical methods allow the experimentalist to use and interpret the results from loop designs in practice. AVAILABILITY: The data and R code are available at http://exgen.ma.umist.ac.uk CONTACT: [email protected].
Veronica Vinciotti, Raya Khanin, Davide D'Alimonte, Xiaohui Liu 0001, N. Cattini, G. Hotchkiss, Giselda Bucca, O. de Jesus, J. Rasaiyaah, Colin P. Smith, Paul Kellam, Ernst Wit
Bioinform.5