GWAS on longitudinal growth traits reveals different genetic factors influencing infant, child, and adult BMI

…, AT Hattersley, A Rodriguez, M Banterle… - Science …, 2019 - science.org
Early childhood growth patterns are associated with adult health, yet the genetic factors and
the developmental stages involved are not fully understood. Here, we combine genome-…

Accelerating Metropolis-Hastings algorithms by delayed acceptance

M Banterle, C Grazian, A Lee, CP Robert - arXiv preprint arXiv:1503.00996, 2015 - arxiv.org
MCMC algorithms such as Metropolis-Hastings algorithms are slowed down by the computation
of complex target distributions as exemplified by huge datasets. We offer in this paper a …

A computationally efficient Bayesian seemingly unrelated regressions model for high-dimensional quantitative trait loci discovery

L Bottolo, M Banterle, S Richardson… - Journal of the Royal …, 2021 - academic.oup.com
… Bottolo and Banterle are joint first authors in this paper. … the results in terms of a general
matrix M in the (hyper) inverse-Wishart distribution. In our implementation, we use M = τ I s . …

BayesSUR: An R package for high-dimensional multivariate Bayesian variable and covariance selection in linear regression

Z Zhao, M Banterle, L Bottolo, S Richardson… - arXiv preprint arXiv …, 2021 - arxiv.org
… the dense and large covariance matrix directly, Banterle … For more technical details, please
refer to Banterle … estimateˆG can be outside the space of decomposable models (see Banterle

Accelerating Metropolis-Hastings algorithms: Delayed acceptance with prefetching

M Banterle, C Grazian, CP Robert - arXiv preprint arXiv:1406.2660, 2014 - arxiv.org
MCMC algorithms such as Metropolis-Hastings algorithms are slowed down by the computation
of complex target distributions as exemplified by huge datasets. We offer in this paper …

[PDF][PDF] Sparse variable and covariance selection for high-dimensional seemingly unrelated Bayesian regression

M Banterle, L Bottolo, S Richardson, M Ala-Korpela… - bioRxiv, 2018 - scholar.archive.org
High-throughput technology for molecular biomarkers is increasingly producing multivariate
phenotype data exhibiting strong correlation structures. Existing approaches for combining …

Multivariate Bayesian structured variable selection for pharmacogenomic studies

…, M Banterle, A Lewin, M Zucknick - Journal of the Royal …, 2024 - academic.oup.com
Cancer drug sensitivity screens combined with multi-omics characterisation of the cancer
cells have become an important tool to determine the optimal treatment for each patient. We …

Fourier ring correlation as a resolution criterion for super-resolution microscopy

N Banterle, KH Bui, EA Lemke, M Beck - Journal of structural biology, 2013 - Elsevier
Optical nanoscopy techniques using localization based image reconstruction, also termed
super-resolution microscopy (SRM), have become a standard tool to bypass the diffraction …

Decoupling of size and shape fluctuations in heteropolymeric sequences reconciles discrepancies in SAXS vs. FRET measurements

G Fuertes, N Banterle, KM Ruff… - Proceedings of the …, 2017 - National Acad Sciences
Unfolded states of proteins and native states of intrinsically disordered proteins (IDPs)
populate heterogeneous conformational ensembles in solution. The average sizes of these …

[PDF][PDF] Plasticity of an ultrafast interaction between nucleoporins and nuclear transport receptors

…, D Mercadante, IV Aramburu, MR Jensen, N Banterle… - Cell, 2015 - cell.com
… We thus performed a salt titration ranging from 0.05 to 1 M ionic strength (using NaCl),
permitting an estimate of kon under infinite electrostatic shielding by extrapolation using a Debye-…