Results 11 to 20 of about 3,925,241 (306)

Effect of normalisation on detection of differentially expressed genes in cDNA microarray data analysis

Italian Journal of Animal Science, 2010
Four different normalisation techniques were applied for the corrections of fluorescence data generated by a cDNA microarray experiment. Correction for inaccurate signals and possible bias induced by fluorescence intensity, background intensity and dye ...
N. P. P. Macciotta, N. Bacciu, C. Dimauro   +2 more
doaj   +2 more sources

Quantitative Ultrasonographic Assessment of Supraspinatus Insertion Tendon in Non-Lame Dogs (Thickness and Relative Echogenicity) [PDF]

Animals
The canine supraspinatus insertion tendon (SIT) is frequently involved in shoulder disorders; however, objective ultrasonographic reference data remain limited.
Juan Antonio Camara-Serrano, Hernan Fominaya-Garcia, Concepcion Rojo-Salvador, Angela Garau-Camacho, Pilar Llorens-Pena, Jesus Rodriguez-Quiros   +5 more
doaj   +2 more sources

Direct integration of intensity-level data from Affymetrix and Illumina microarrays improves statistical power for robust reanalysis

BMC Medical Genomics, 2012
Background Affymetrix GeneChips and Illumina BeadArrays are the most widely used commercial single channel gene expression microarrays. Public data repositories are an extremely valuable resource, providing array-derived gene expression measurements from
Turnbull Arran K, Kitchen Robert R, Larionov Alexey A, Renshaw Lorna, Dixon J, Sims Andrew H   +5 more
doaj   +2 more sources

A Systematic Benchmark of Intensity Normalisation Methods for 3D Knee MRI Segmentation and Cross-Domain Generalisability

arXiv.org
Robust out-of-the-box performance is essential for the clinical deployment of deep learning models in medical imaging. An important but underexplored factor affecting model generalisability is intensity normalisation, particularly for magnetic resonance imaging (MRI), where image intensities vary across scanners and protocols.
Mills, Oliver, Conaghan, Philip, Relton, Samuel   +2 more
openaire   +3 more sources

Deep Learning for Delineation of the Spinal Canal in Whole-Body Diffusion-Weighted Imaging: Normalising Inter- and Intra-Patient Intensity Signal in Multi-Centre Datasets

Bioengineering
Background: Whole-Body Diffusion-Weighted Imaging (WBDWI) is an established technique for staging and evaluating treatment response in patients with multiple myeloma (MM) and advanced prostate cancer (APC).
Antonio Candito, Richard Holbrey, Ana Ribeiro, Christina Messiou, Nina Tunariu, Dow-Mu Koh, Matthew D. Blackledge   +6 more
doaj   +3 more sources

The Impact of Stain Variation and Colour Normalisation on Tissue Stain Intensity and Automated Nuclear Counting: A Multi-Site Study.

Journal of Histotechnology
Variation in H&E staining is often a confounder when comparing data in multi-site studies, and impacts on the generalisability of AI models. In this paper, slides containing serial sections of control liver tissue were sent out to eight clinical laboratories in England to stain over a two-week period. H&E staining optical density was quantified
Darren Treanor, Peter Ellery, Catriona Dunn   +2 more
exaly   +3 more sources

A Reproducible Multicentre MRI Radiomics Workflow for Pancreatic Cyst Risk Stratification Using Paired T1- and T2-Weighted Imaging [PDF]

Tomography
Purpose: To develop and technically validate a reproducible multicentre MRI radiomics workflow for pancreatic cyst risk stratification using paired T1- and T2-weighted imaging from public datasets.
George Sgourakis
doaj   +2 more sources

Multisite reproducibility and test-retest reliability of the T1w/T2w-ratio: A comparison of processing methods

NeuroImage, 2021
Background: The ratio of T1-weighted (T1w) and T2-weighted (T2w) magnetic resonance imaging (MRI) images is often used as a proxy measure of cortical myelin.
Stener Nerland, Kjetil N. Jørgensen, Wibeke Nordhøy, Ivan I. Maximov, Robin A.B. Bugge, Lars T. Westlye, Ole A. Andreassen, Oliver M. Geier, Ingrid Agartz   +8 more
doaj   +1 more source

Evaluating strategies to normalise biological replicates of Western blot data. [PDF]

PLoS ONE, 2014
Western blot data are widely used in quantitative applications such as statistical testing and mathematical modelling. To ensure accurate quantitation and comparability between experiments, Western blot replicates must be normalised, but it is unclear ...
Andrea Degasperi, Marc R Birtwistle, Natalia Volinsky, Jens Rauch, Walter Kolch, Boris N Kholodenko   +5 more
doaj   +1 more source

Amyloid burden quantification depends on PET and MR image processing methodology.

PLoS ONE, 2021
Quantification of amyloid load with positron emission tomography can be useful to assess Alzheimer's Disease in-vivo. However, quantification can be affected by the image processing methodology applied.
Guilherme D Kolinger, David Vállez García, Antoon T M Willemsen, Fransje E Reesink, Bauke M de Jong, Rudi A J O Dierckx, Peter P De Deyn, Ronald Boellaard   +7 more
doaj   +1 more source