[HTML][HTML] Identification of a radiosensitivity signature using integrative metaanalysis of published microarray data for NCI-60 cancer cells
Background In the postgenome era, a prediction of response to treatment could lead to
better dose selection for patients in radiotherapy. To identify a radiosensitive gene signature …
better dose selection for patients in radiotherapy. To identify a radiosensitive gene signature …
[HTML][HTML] Network methods for describing sample relationships in genomic datasets: application to Huntington's disease
Background Genomic datasets generated by new technologies are increasingly prevalent in
disparate areas of biological research. While many studies have sought to characterize …
disparate areas of biological research. While many studies have sought to characterize …
ARSyN: a method for the identification and removal of systematic noise in multifactorial time course microarray experiments
Transcriptomic profiling experiments that aim to the identification of responsive genes in
specific biological conditions are commonly set up under defined experimental designs that …
specific biological conditions are commonly set up under defined experimental designs that …
[HTML][HTML] Batch correction of microarray data substantially improves the identification of genes differentially expressed in rheumatoid arthritis and osteoarthritis
P Kupfer, R Guthke, D Pohlers, R Huber… - BMC medical …, 2012 - Springer
Background Batch effects due to sample preparation or array variation (type, charge, and/or
platform) may influence the results of microarray experiments and thus mask and/or …
platform) may influence the results of microarray experiments and thus mask and/or …
Batch effects correction improves the sensitivity of significance tests in spectral counting-based comparative discovery proteomics
Shotgun proteomics has become the standard proteomics technique for the large-scale
measurement of protein abundances in biological samples. Despite quantitative proteomics …
measurement of protein abundances in biological samples. Despite quantitative proteomics …
[HTML][HTML] G-cimp status prediction of glioblastoma samples using mRNA expression data
Glioblastoma Multiforme (GBM) is a tumor with high mortality and no known cure. The
dramatic molecular and clinical heterogeneity seen in this tumor has led to attempts to …
dramatic molecular and clinical heterogeneity seen in this tumor has led to attempts to …
Derivation and validation of a cytokine-based assay to screen for acute rejection in renal transplant recipients
SA De Serres, BG Mfarrej, M Grafals… - Clinical Journal of the …, 2012 - journals.lww.com
Results Although six cytokines (IL-1β, IL-6, TNF-α, IL-4, GM-CSF, and monocyte
chemoattractant protein-1) distinguished acute rejectors in the training cohort, logistic …
chemoattractant protein-1) distinguished acute rejectors in the training cohort, logistic …
The practical effect of batch on genomic prediction
Measurements from microarrays and other high-throughput technologies are susceptible to
non-biological artifacts like batch effects. It is known that batch effects can alter or obscure …
non-biological artifacts like batch effects. It is known that batch effects can alter or obscure …
[HTML][HTML] Four new SYBR®Green qPCR screening methods for the detection of Roundup Ready®, LibertyLink®, and CryIAb traits in genetically modified products
E Barbau-Piednoir, A Lievens, E Vandermassen… - … Food Research and …, 2012 - Springer
SYBR® Green qPCR methods for the detection of the Roundup Ready®“CP4-EPSPS”,
LibertyLink®“PAT” and “BAR,” and the Bacillus thuringiensis “CryIAb” traits as present in …
LibertyLink®“PAT” and “BAR,” and the Bacillus thuringiensis “CryIAb” traits as present in …
Reverse engineering biomolecular systems using− omic data: challenges, progress and opportunities
Recent advances in high-throughput biotechnologies have led to the rapid growing research
interest in reverse engineering of biomolecular systems (REBMS).'Data-driven'approaches …
interest in reverse engineering of biomolecular systems (REBMS).'Data-driven'approaches …