Master regulators of biological systems in higher dimensions

H Eble, M Joswig, L Lamberti… - Proceedings of the …, 2023 - National Acad Sciences
A longstanding goal of biology is to identify the key genes and species that critically impact
evolution, ecology, and health. Network analysis has revealed keystone species that …

Inferring genetic interactions from comparative fitness data

K Crona, A Gavryushkin, D Greene, N Beerenwinkel - Elife, 2017 - elifesciences.org
Darwinian fitness is a central concept in evolutionary biology. In practice, however, it is
hardly possible to measure fitness for all genotypes in a natural population. Here, we …

Geometry of fitness landscapes: peaks, shapes and universal positive epistasis

K Crona, J Krug, M Srivastava - Journal of Mathematical Biology, 2023 - Springer
Darwinian evolution is driven by random mutations, genetic recombination (gene shuffling)
and selection that favors genotypes with high fitness. For systems where each genotype can …

A fast lasso-based method for inferring higher-order interactions

K Elmes, A Heywood, Z Huang… - PLoS computational …, 2022 - journals.plos.org
Large-scale genotype-phenotype screens provide a wealth of data for identifying molecular
alterations associated with a phenotype. Epistatic effects play an important role in such …

SNVformer: An Attention-based Deep Neural Network for GWAS Data

K Elmes, D Benavides-Prado, NÖ Tan, TB Nguyen… - bioRxiv, 2022 - biorxiv.org
Despite being the widely-used gold standard for linking common genetic variations to
phenotypes and disease, genome-wide association studies (GWAS) suffer major limitations …

An uncertainty law for microbial evolution

K Crona, M Luo, D Greene - Journal of theoretical biology, 2020 - Elsevier
Medical practice would benefit from a thorough understanding of constraints and uncertainty
in microbial evolution. Higher order epistasis refers to unexpected effects of multiple …

[PDF][PDF] Machine Learning Models for Complex Trait Prediction

K Collienne - 2023 - ourarchive.otago.ac.nz
Complex traits are heritable traits that do not obey monogenic Mendelian inheritance laws.
These traits, including for example height, cannot be explained by a single genetic variation …

A Fast Lasso-Based Method for Inferring Pairwise Interactions

K Elmes, A Heywood, Z Huang, A Gavryushkin - bioRxiv, 2021 - biorxiv.org
Large-scale genotype-phenotype screens provide a wealth of data for identifying molecular
alternations associated with a phenotype. Epistatic effects play an important role in such …

Master regulators of evolution and the microbiome in higher dimensions

H Eble, M Joswig, L Lamberti, W Ludington - arXiv preprint arXiv …, 2020 - arxiv.org
A longstanding goal of biology is to identify the key genes and species that critically impact
evolution, ecology, and health. Network analysis has revealed keystone species that …

[引用][C] Epistasis, regular subdivisions and spanning trees

H Eble - depositonce.tu-berlin.de
In this thesis, we use techniques from polyhedral geometry and statistics in order to detect
and quantify biological interactions within a system of genes or species described by a given …