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20112021
most citedAutomated analysis of quantitative image data using isomorphic functional mixed models, with application to proteomics data

64 citations · 86 across the 9 of their papers we have counts for

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Showing 2018Show all

2 papers · 1 filter

stat.ME2018★ 2 cited

Regression Analyses of Distributions using Quantile Functional Regression

Hojin Yang, Veerabhadran Baladandayuthapani, Arvind U. K. Rao +1

Radiomics involves the study of tumor images to identify quantitative markers explaining cancer heterogeneity. The predominant approach is to extract hundreds to thousands of image…

stat.ME2018★ 16 cited

Function-on-Scalar Quantile Regression with Application to Mass Spectrometry Proteomics Data

Yusha Liu, Meng Li, Jeffrey S. Morris

Mass spectrometry proteomics, characterized by spiky, spatially heterogeneous functional data, can be used to identify potential cancer biomarkers. Existing mass spectrometry analy…