2 citations · 2 across the 1 of their papers we have counts for
2 papers
stat.ME2021★ 2 cited
Multi-Block Sparse Functional Principal Components Analysis for Longitudinal Microbiome Multi-Omics Data
Lingjing Jiang, Chris Elrod, Jane J. Kim +3
Microbiome researchers often need to model the temporal dynamics of multiple complex, nonlinear outcome trajectories simultaneously. This motivates our development of multivariate…
q-bio.QM2020
Utilizing stability criteria in choosing feature selection methods yields reproducible results in microbiome data
Lingjing Jiang, Niina Haiminen, Anna-Paola Carrieri +7
Feature selection is indispensable in microbiome data analysis, but it can be particularly challenging as microbiome data sets are high-dimensional, underdetermined, sparse and com…