Motivation Stochastic molecular processes are a leading cause of cell-to-cell variability. Their dynamics are often described by continuous-time discrete-state Markov chains and simulated using stochastic simulation algorithms. As these stochastic simulations are computationally demanding, ordinary differential equation models for the dynamics of the statistical moments have been developed. The...

MOTIVATION The advent of new genomic technologies has resulted in the production of massive data sets. Analyses of these data require new statistical and computational methods. In this article, we propose one such method that is useful in selecting explanatory variables for prediction of a binary response. Although this problem has recently been addressed using penalized likelihood methods, we ...

MOTIVATION Assembling peptides identified from tandem mass spectra into a list of proteins, referred to as protein inference, is an important issue in shotgun proteomics. The objective of protein inference is to find a subset of proteins that are truly present in the sample. Although many methods have been proposed for protein inference, several issues such as peptide degeneracy still remain un...

For more than 20 years, variants of correspondence analysis have arisen that accommodate for the structure ordered categorical variables using orthogonal polynomials. When visual display from this is biplot, projections linking origin to standard coordinate each category a common feature. In case when column variable, say, consists categories, biplot can be constructed so their determined polyn...

We propose an optimal-transport-based matching method to nonparametrically estimate linear models with independent latent variables. The consists in generating pseudo-observations from the variables, so that Euclidean distance between model’s predictions and their matched counterparts data is minimized. show our nonparametric estimator consistent, we document it performs well simulated data. ap...

Supplementary Figure 1. Removal of trios due to potential false‐parenthood............................................ 2 Supplementary Figure 2. Estimated genotype error rate per locus ............................................................. 3 Supplementary Figure 3. Similarity between trio and family data in mutational length distribution ......... 4 Supplementary Figure 4. Mutations by l...