Family study designs informed by tumor heterogeneity and multi-cancer pleiotropies: the power of the Utah population database
HA Hanson, CL Leiser, MJ Madsen, J Gardner… - … Biomarkers & Prevention, 2020 - AACR
Background: Previously, family-based designs and high-risk pedigrees have illustrated
value for the discovery of high-and intermediate-risk germline breast cancer susceptibility …
value for the discovery of high-and intermediate-risk germline breast cancer susceptibility …
An improved, assay platform agnostic, absolute single sample breast cancer subtype classifier
Simple Summary A platform and normalization bias agnostic single sample classifier (SSC)
is needed. A random forest SSC (MiniABS) utilizing 11 genes was developed and validated …
is needed. A random forest SSC (MiniABS) utilizing 11 genes was developed and validated …
[PDF][PDF] SPECTRA: Agnostic expression variables for flexible transcriptome modelling in complex disease
We describe SPECTRA, a novel approach to measure variation in the transcriptome, 7
providing unsupervised quantitative variables to model with any clinical, demographic, or 8 …
providing unsupervised quantitative variables to model with any clinical, demographic, or 8 …
Deep transcriptome profiling of multiple myeloma with quantitative measures using the SPECTRA approach
ABSTRACT SPECTRA is a new data framework to describe variation in a transcriptome as a
set of unsupervised quantitative variables. Spectra variables provide a deep dive into the …
set of unsupervised quantitative variables. Spectra variables provide a deep dive into the …
Mapping Genes and Modeling Transcriptomes in Myeloma
RG Waller - 2020 - search.proquest.com
Complex diseases are a substantial burden on society and are caused by multiple genetic
and environmental factors. This heterogeneity leads to unique challenges in understanding …
and environmental factors. This heterogeneity leads to unique challenges in understanding …