activity
20142022
most citedEstimation of cell lineage trees by maximum-likelihood phylogenetics

13 citations · 27 across the 6 of their papers we have counts for

collaborators

9 papers

stat.ME2022★ 7 cited

Modeling complex measurement error in microbiome experiments to estimate relative abundances and detection effects

David S Clausen, Amy D Willis

Accurate estimates of microbial species abundances are needed to advance our understanding of the role that microbiomes play in human and environmental health. However, artificiall…

q-bio.QM2019★ 13 cited

Estimation of cell lineage trees by maximum-likelihood phylogenetics

Jean Feng, William S DeWitt, Aaron McKenna +3

CRISPR technology has enabled large-scale cell lineage tracing for complex multicellular organisms by mutating synthetic genomic barcodes during organismal development. However, th…

stat.ME2019

Modeling microbial abundances and dysbiosis with beta-binomial regression

Bryan D. Martin, Daniela Witten, Amy D. Willis

Using a sample from a population to estimate the proportion of the population with a certain category label is a broadly important problem. In the context of microbiome studies, th…

stat.ME2016

Uncertainty in phylogenetic tree estimates

Amy D. Willis, Rayna C. Bell

Estimating phylogenetic trees is an important problem in evolutionary biology, environmental policy and medicine. Although trees are estimated, their uncertainties are discarded by…

stat.ME2016

Confidence sets for phylogenetic trees

Amy Willis

Inferring evolutionary histories (phylogenetic trees) has important applications in biology, criminology and public health. However, phylogenetic trees are complex mathematical obj…

stat.AP2016

Improved detection of changes in species richness in high-diversity microbial communities

Amy Willis, John Bunge, Thea Whitman

High throughput sequencing (HTS) continues to expand our understanding of microbial communities, despite insufficient sequencing depths to detect all rare taxa. These low abundance…