1 code implementation • 11 Dec 2023 • Ramon Diaz-Uriarte
They have been used in computational oncology and virology to understand dependencies in the accumulation of mutations but also in widely different problems such as malaria progression.
no code implementations • 7 Oct 2022 • Juan Diaz-Colunga, Abigail Skwara, Karna Gowda, Ramon Diaz-Uriarte, Mikhail Tikhonov, Djordje Bajic, Alvaro Sanchez
Yet, patterns of global epistasis, in which the fitness effect of a mutation is well-predicted by the fitness of its genetic background, may actually be of help in our efforts to reconstruct fitness landscapes and infer adaptive trajectories.
no code implementations • 2 Feb 2020 • Susanna Manrubia, José A. Cuesta, Jacobo Aguirre, Sebastian E. Ahnert, Lee Altenberg, Alejandro V. Cano, Pablo Catalán, Ramon Diaz-Uriarte, Santiago F. Elena, Juan Antonio García-Martín, Paulien Hogeweg, Bhavin S. Khatri, Joachim Krug, Ard A. Louis, Nora S. Martin, Joshua L. Payne, Matthew J. Tarnowski, Marcel Weiß
Understanding how genotypes map onto phenotypes, fitness, and eventually organisms is arguably the next major missing piece in a fully predictive theory of evolution.
no code implementations • 30 Jan 2004 • Ramon Diaz-Uriarte
However, available methods to search for signatures fail to address key requirements of signatures, especially the discovery of sets of tightly coexpressed genes.
Quantitative Methods Genomics