نتایج جستجو برای: microarrays

تعداد نتایج: 15031  

Journal: :Journal of Visualized Experiments 2007

2010
Mohan Natesan Robert G. Ulrich

Protein microarrays are powerful tools that are widely used in systems biology research. For infectious diseases, proteome microarrays assembled from proteins of pathogens will play an increasingly important role in discovery of diagnostic markers, vaccines, and therapeutics. Distinct formats of protein microarrays have been developed for different applications, including abundance-based and fu...

Journal: :Angewandte Chemie 2023

O-fucosylated glycan epitopes of membrane-bound mucin glycoproteins are key ligands many bacterial lectins. In their Research Article (e202302437), Ulrika Westerlind and co-workers describe the synthesis fucosylated glycopeptides using a chemoenzymatic approach. Starting from simple building blocks, Fmoc-protected glycosylated amino acids were prepared incorporated into peptides enzymatically d...

Journal: :Bioconjugate chemistry 2005
Zhenxin Wang Raphaël Lévy David G Fernig Mathias Brust

Extremely stable, peptide-capped gold nanoparticles with two different biomolecular recognition motifs expressed on their surface have been prepared, and their specific and selective binding to artificial, DNA-modified target particles and to DNA and protein microarrays has been demonstrated. Stabilization and biofunctionalization has been achieved in a single preparative step starting with cit...

Journal: :Molecular Systems Biology 2007
Tanya Knickerbocker Jiunn R Chen Ravi Thadhani Gavin MacBeath

Over the past several years, multivariate approaches have been developed that address the problem of disease diagnosis. Here, we report an integrated approach to the problem of prognosis that uses protein microarrays to measure a focused set of molecular markers and non-parametric methods to reveal non-linear relationships among these markers, clinical variables, and patient outcome. As proof-o...

2005
Holger Schwender

In this vignette, we show how the functions contained in the R package siggenes can be used to perform both the Significance Analysis of Microarrays (SAM) proposed by Tusher et al. (2001) and the Empirical Bayes Analysis of Microarrays (EBAM) suggested by Efron et al. (2001).

2016
Justin C. Recknor Phillip Dixon Ken Koehler Chris Tuggle

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . v General Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1 Microarrays . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.1 Cell life . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Spotted Microarrays . . . . . . . . . . . . . . . . . . . . . . . . . 3 ...

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