Uniform Formulae for Coefficients of Meromorphic Functions in Two Variables. Part I. - Manuel E. Lladser (SIAM J. Discret. Math., 2006)

Markovian Embeddings of General Random Strings. - Manuel E. Lladser (ANALCO, 2008)

Semi-supervised Learning of a Markovian Metric. - Avleen Singh Bijral; Manuel E. Lladser; Gregory Z. Grudic (SDM, 2008)

Comparison of methods for estimating the nucleotide substitution matrix. - Maribeth Oscamou; Daniel McDonald; Von Bing Yap; Gavin A. Huttley; Manuel E. Lladser; Rob Knight 001 (BMC Bioinform., 2008)

Prediction of Unseen Proportions in Urn Models with Restricted Sampling. - Manuel E. Lladser (ANALCO, 2009)

Occupancy distributions in Markov chains via Doeblin's ergodicity coefficient - Stephen Chestnut; Manuel E. Lladser (CoRR, 2010)

Random Cayley digraphs of diameter 2 and given degree. - Manuel E. Lladser; Primoz Potocnik; Jozef Sirán; Mark C. Wilson (Discret. Math. Theor. Comput. Sci., 2012)

FStitch: a fast and simple algorithm for detecting nascent RNA transcripts. - Joseph Azofeifa; Mary A. Allen; Manuel E. Lladser; Robin D. Dowell (BCB, 2014)

Metric-space Positioning Systems (MPS) for Machine Learning. - Richard C. Tillquist; Manuel E. Lladser (BCB, 2016)

An Annotation Agnostic Algorithm for Detecting Nascent RNA Transcripts in GRO-Seq. - Joseph Azofeifa; Mary A. Allen; Manuel E. Lladser; Robin D. Dowell (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

Quantum Computation. - Jaden Pieper; Manuel E. Lladser (Scholarpedia, 2018)

Low-Dimensional Representation of Genomic Sequences. - Richard C. Tillquist; Manuel E. Lladser (BCB, 2019)

Multilateration of Random Networks with Community Structure. - Richard C. Tillquist; Manuel E. Lladser (CoRR, 2019)

Metric Dimension. - Richard C. Tillquist; Rafael M. Frongillo; Manuel E. Lladser (Scholarpedia, 2019)

Hidden Independence in Unstructured Probabilistic Models. - Antony Pearson; Manuel E. Lladser (AofA, 2020)

Resolvability of Hamming Graphs. - Lucas Laird; Richard C. Tillquist; Stephen Becker; Manuel E. Lladser (SIAM J. Discret. Math., 2020)

Sparsification of Large Ultrametric Matrices: Insights into the Microbial Tree of Life. - Evan D. Gorman; Manuel E. Lladser (CoRR, 2022)

Truncated metric dimension for finite graphs. - Rafael M. Frongillo; Jesse Geneson; Manuel E. Lladser; Richard C. Tillquist; Eunjeong Yi (Discret. Appl. Math., 2022)

Levenshtein graphs: Resolvability, automorphisms & determining sets. - Perrin E. Ruth; Manuel E. Lladser (Discret. Math., 2023)

Getting the Lay of the Land in Discrete Space: A Survey of Metric Dimension and Its Applications. - Richard C. Tillquist; Rafael M. Frongillo; Manuel E. Lladser (SIAM Rev., 2023)

Sparsification of Phylogenetic Covariance Matrices of k-Regular Trees. - Sean S. Svihla; Manuel E. Lladser (AofA, 2024)

Metric Dimension and Resolvability of Jaccard Spaces. - Manuel E. Lladser; Alexander J. Paradise (CoRR, 2024)

Interpretable metric learning in comparative metagenomics: The adaptive Haar-like distance. - Evan D. Gorman; Manuel E. Lladser (PLoS Comput. Biol., 2024)

Forecasting Competitions with Correlated Events. - Rafael M. Frongillo; Manuel E. Lladser; Anish Thilagar; Bo Waggoner (AAAI, 2025)