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Additional file 3: Figure S1. of Assessing biological and technological variability in protein levels measured in pre-diagnostic plasma samples of women with breast cancer

Year: 2017

Type: article

Abstract: Principal Component Analysis. (a) first (x-axis) and second (y-axis) principal components capture more than 90% of variance in both Myriad-RBM and Olink datasets but are unable to separate case and control samples (supported visually by heavily overlapping red and blue density maps). (b) the same PCA plots as (a) with samples colored with anonymized sister pair indices reveal that, when evaluated in covariance, protein levels are not more similar between biological sisters than between unrelated individuals in the antibody-based assays. (DOCX 604 kb)

Source: Figshare

DOI: 10.6084/m9.figshare.5508796

Authors: Yeh, Christine, Adusumilli, Ravali, Kullolli, Majlinda, Mallick, Parag, John, Esther, Pitteri, Sharon

Topic: Breast Cancer Treatment Studies

Subfield: Cancer Research

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7135405015

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