Volodymyr M. Minin

According to our database, Volodymyr M. Minin authored at least 16 papers between 2005 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Using genetic data to identify transmission risk factors: Statistical assessment and application to tuberculosis transmission.

Isaac H. Goldstein, Damon Bayer, Ivan Barilar, Balladiah Kizito, Ogopotse Matsiri, Chawangwa Modongo, Nicola M. Zetola, Stefan Niemann, Volodymyr M. Minin, Sanghyuk S. Shin

PLoS Comput. Biol., December, 2022

2020

Locally adaptive Bayesian birth-death model successfully detects slow and rapid rate shifts.

Andrew F. Magee, Sebastian Höhna, Tetyana I. Vasylyeva, Adam D. Leaché, Vladimir N. Minin

PLoS Comput. Biol., 2020

Estimating effective population size changes from preferentially sampled genetic sequences.

Michael D. Karcher, Luiz Max Carvalho, Marc A. Suchard, Gytis Dudas, Vladimir N. Minin

PLoS Comput. Biol., 2020

A Bayesian phylogenetic hidden Markov model for B cell receptor sequence analysis.

Amrit Dhar, Duncan K. Ralph, Vladimir N. Minin, Frederick A. Matsen IV

PLoS Comput. Biol., 2020

2018

Predicting B cell receptor substitution profiles using public repertoire data.

Amrit Dhar, Kristian Davidsen, Frederick A. Matsen IV, Vladimir N. Minin

PLoS Comput. Biol., 2018

2017

Calculating Higher-Order Moments of Phylogenetic Stochastic Mapping Summaries in Linear Time.

Amrit Dhar, Vladimir N. Minin

J. Comput. Biol., 2017

2016

Quantifying and Mitigating the Effect of Preferential Sampling on Phylodynamic Inference.

Michael D. Karcher, Julia A. Palacios, Trevor Bedford, Marc A. Suchard, Vladimir N. Minin

PLoS Comput. Biol., 2016

2015

An efficient Bayesian inference framework for coalescent-based nonparametric phylodynamics.

Shiwei Lan, Julia A. Palacios, Michael D. Karcher, Vladimir N. Minin, Babak Shahbaba

Bioinform., 2015

Effcient Transition Probability Computation for Continuous-Time Branching Processes via Compressed Sensing.

Jason Xu, Vladimir N. Minin

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

2014

Phylogenetic Stochastic Mapping Without Matrix Exponentiation.

Jan Irvahn, Vladimir N. Minin

J. Comput. Biol., 2014

2012

A counting renaissance: combining stochastic mapping and empirical Bayes to quickly detect amino acid sites under positive selection.

Philippe Lemey, Vladimir N. Minin, Filip Bielejec, Sergei L. Kosakovsky Pond, Marc A. Suchard

Bioinform., 2012

Integrated Nested Laplace Approximation for Bayesian Nonparametric Phylodynamics.

Julia A. Palacios, Vladimir N. Minin

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

A statistical approach to peptide identification from clustered tandem mass spectrometry data.

Soyoung Ryu, David R. Goodlett, William S. Noble, Vladimir N. Minin

Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012

2007

cBrother: relaxing parental tree assumptions for Bayesian recombination detection.

Fang Fang, Jing Ding, Vladimir N. Minin, Marc A. Suchard, Karin S. Dorman

Bioinform., 2007

Hot and Cold: Spatial Fluctuation in HIV-1 Recombination Rates.

Misha L. Rajaram, Vladimir N. Minin, Marc A. Suchard, Karin S. Dorman

Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2005

Dual multiple change-point model leads to more accurate recombination detection.

Vladimir N. Minin, Karin S. Dorman, Fang Fang, Marc A. Suchard

Bioinform., 2005