19 citations · 24 across the 7 of their papers we have counts for
7 papers
Non-Identifiable Pedigrees and a Bayesian Solution
B. Kirkpatrick
Some methods aim to correct or test for relationships or to reconstruct the pedigree, or family tree. We show that these methods cannot resolve ties for correct relationships due t…
Correcting for Cryptic Relatedness in Genome-Wide Association Studies
Bonnie Kirkpatrick, Alexandre Bouchard-Côté
While the individuals chosen for a genome-wide association study (GWAS) may not be closely related to each other, there can be distant (cryptic) relationships that confound the evi…
Fast Computation of the Kinship Coefficients
Bonnie Kirkpatrick
For families, kinship coefficients are quantifications of the amount of genetic sharing between a pair of individuals. These coefficients are critical for understanding the breedin…
Haplotype Inference for Pedigrees with Few Recombinations
Bonnie Kirkpatrick
Pedigrees, or family trees, are graphs of family relationships that are used to study inheritance. A fundamental problem in computational biology is to find, for a pedigree with $n…
Efficient Continuous-Time Markov Chain Estimation
Monir Hajiaghayi, Bonnie Kirkpatrick, Liangliang Wang +1
Many problems of practical interest rely on Continuous-time Markov chains~(CTMCs) defined over combinatorial state spaces, rendering the computation of transition probabilities, an…
Optimal State-Space Reduction for Pedigree Hidden Markov Models
Bonnie Kirkpatrick, Kay Kirkpatrick
To analyze whole-genome genetic data inherited in families, the likelihood is typically obtained from a Hidden Markov Model (HMM) having a state space of 2^n hidden states where n…