Howe, E. N.,Burnette, M. D.,Justice, M. E.,Clancy, J. W.,Guldner, I. H.,Schnepp, P. M.,Hendrick, V.,Aryal, U. K.,Lamere, A. T.,Li, J.,D'Souze-Schorey, C.,Zartman, J. Z.,Zhang, S., Rab11b-mediated integrin recycling promotes brain metastatic adaptation and outgrowth”, .

Nguyen, S.,Lamere, A. T.,Olinsky, A.,Quinn, J., The Effects of Sampling Methods on Machine Learning Models for Predicting Long-term Length of Stay: A Case Study of Rhode Island Hospitals, International Journal of Rough Sets and Data Analysis (IJRSDA)/IGI Publishing.

Lamere, A. T., Cluster Analysis in R with Big Data Applications, , 2020.

Lamere, A. T.,Kennedy, K., Examining the Effect of Personal Classroom Friendships with Online Learning, World Journal of Education and Humanities, 2020.

Lamere, A. T.,Li, J., Inference of gene co-expression networks from single-cell data, Springer Protocols, 2019.

Lamere, A. T.,Li, J., DiPhiSeq: Robust comparison of expression levels on RNA-Seq data with large sample sizes, Bioinformatics, 2018.

Specht, A. T., Widespread position-specific conservation of synonymous rare codons within coding sequences, PLoS Computational Biology, 2017.

Specht, A. T., LEAP: Constructing gene co-expression networks for single-cell RNA-sequencing data using pseudotime ordering, Bioinformatics, 2016.

Specht, A. T., Estimation of gene co-expression from RNA-Seq count data, Statistics and Its Interface, 2015.

Merit Teaching Award, 2019

Caucus for Women in Statistics

Kappa Mu Epsilon

Mu Sigma Rho

Association of Women in Science

American Statistical Association