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Big data in public health: terminology, machine learning, and privacy
The digital world is generating data at a staggering and still increasing rate. While these “big
data” have unlocked novel opportunities to understand public health, they hold still greater …
data” have unlocked novel opportunities to understand public health, they hold still greater …
Microarray data normalization and transformation
J Quackenbush - Nature genetics, 2002 - nature.com
Underlying every microarray experiment is an experimental question that one would like to
address. Finding a useful and satisfactory answer relies on careful experimental design and …
address. Finding a useful and satisfactory answer relies on careful experimental design and …
Microbiota from Alzheimer's patients induce deficits in cognition and hippocampal neurogenesis
S Grabrucker, M Marizzoni, E Silajdžić, N Lopizzo… - Brain, 2023 - academic.oup.com
Alzheimer's disease is a complex neurodegenerative disorder leading to a decline in
cognitive function and mental health. Recent research has positioned the gut microbiota as …
cognitive function and mental health. Recent research has positioned the gut microbiota as …
[کتاب][B] Measurement error in nonlinear models: a modern perspective
RJ Carroll, D Ruppert, LA Stefanski, CM Crainiceanu - 2006 - taylorfrancis.com
It's been over a decade since the first edition of Measurement Error in Nonlinear Models
splashed onto the scene, and research in the field has certainly not cooled in the interim. In …
splashed onto the scene, and research in the field has certainly not cooled in the interim. In …
Variance stabilization applied to microarray data calibration and to the quantification of differential expression
W Huber, A Von Heydebreck, H Sültmann… - …, 2002 - academic.oup.com
We introduce a statistical model for microarray gene expression data that comprises data
calibration, the quantification of differential expression, and the quantification of …
calibration, the quantification of differential expression, and the quantification of …
[PDF][PDF] Discovering regulatory and signalling circuits in molecular interaction networks
T Ideker, O Ozier, B Schwikowski, AF Siegel - Bioinformatics, 2002 - academia.edu
Motivation: In model organisms such as yeast, large databases of protein–protein and
protein-DNA interactions have become an extremely important resource for the study of …
protein-DNA interactions have become an extremely important resource for the study of …
Statistical tests for differential expression in cDNA microarray experiments
X Cui, GA Churchill - Genome biology, 2003 - Springer
Extracting biological information from microarray data requires appropriate statistical
methods. The simplest statistical method for detecting differential expression is the t test …
methods. The simplest statistical method for detecting differential expression is the t test …
Addressing accuracy and precision issues in iTRAQ quantitation
iTRAQ (isobaric tags for relative or absolute quantitation) is a mass spectrometry technology
that allows quantitative comparison of protein abundance by measuring peak intensities of …
that allows quantitative comparison of protein abundance by measuring peak intensities of …
Detecting differential gene expression with a semiparametric hierarchical mixture method
Mixture modeling provides an effective approach to the differential expression problem in
microarray data analysis. Methods based on fully parametric mixture models are available …
microarray data analysis. Methods based on fully parametric mixture models are available …
Synchronized age-related gene expression changes across multiple tissues in human and the link to complex diseases
J Yang, T Huang, F Petralia, Q Long, B Zhang… - Scientific reports, 2015 - nature.com
Aging is one of the most important biological processes and is a known risk factor for many
age-related diseases in human. Studying age-related transcriptomic changes in tissues …
age-related diseases in human. Studying age-related transcriptomic changes in tissues …