AIMC Topic: Biological Evolution
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Protein Abundance Prediction Through Machine Learning Methods.
Journal of molecular biology
Sep 23, 2021
Proteins are responsible for most physiological processes, and their abundance provides crucial information for systems biology research. However, absolute protein quantification, as determined by mass spectrometry, still has limitations in capturing...
Evolutionary Multi-Objective One-Shot Filter Pruning for Designing Lightweight Convolutional Neural Network.
Sensors (Basel, Switzerland)
Sep 2, 2021
Deep neural networks have achieved significant development and wide applications for their amazing performance. However, their complex structure, high computation and storage resource limit their applications in mobile or embedding devices such as se...
SPASOS 1.1: a program for the inference of ancestral shape ontogenies.
Cladistics : the international journal of the Willi Hennig Society
May 28, 2021
We recently published a method to infer ancestral landmark-based shape ontogenies that takes into account the possible existence of changes in developmental timing. Here we describe SPASOS, a software to perform that analysis. SPASOS is an open-sourc...
Predicting the animal hosts of coronaviruses from compositional biases of spike protein and whole genome sequences through machine learning.
PLoS pathogens
Apr 20, 2021
The COVID-19 pandemic has demonstrated the serious potential for novel zoonotic coronaviruses to emerge and cause major outbreaks. The immediate animal origin of the causative virus, SARS-CoV-2, remains unknown, a notoriously challenging task for eme...
Using a biologically mimicking climbing robot to explore the performance landscape of climbing in lizards.
Proceedings. Biological sciences
Mar 31, 2021
Locomotion is a key aspect associated with ecologically relevant tasks for many organisms, therefore, survival often depends on their ability to perform well at these tasks. Despite this significance, we have little idea how different performance tas...
1, 2, 3, GO! Venture beyond gene ontologies in plant evolutionary research.
American journal of botany
Mar 8, 2021
Universal probabilistic programming offers a powerful approach to statistical phylogenetics.
Communications biology
Feb 24, 2021
Statistical phylogenetic analysis currently relies on complex, dedicated software packages, making it difficult for evolutionary biologists to explore new models and inference strategies. Recent years have seen more generic solutions based on probabi...
The Camouflage Machine: Optimizing protective coloration using deep learning with genetic algorithms.
Evolution; international journal of organic evolution
Jan 18, 2021
Evolutionary biologists frequently wish to measure the fitness of alternative phenotypes using behavioral experiments. However, many phenotypes are complex. One example is coloration: camouflage aims to make detection harder, while conspicuous signal...
A Revised Model of Anatomically Modern Human Expansions Out of Africa through a Machine Learning Approximate Bayesian Computation Approach.
Genes
Dec 16, 2020
There is a wide consensus in considering Africa as the birthplace of anatomically modern humans (AMH), but the dispersal pattern and the main routes followed by our ancestors to colonize the world are still matters of debate. It is still an open ques...
Long-Term Progress and Behavior Complexification in Competitive Coevolution.
Artificial life
Dec 7, 2020
The possibility of using competitive evolutionary algorithms to generate long-term progress is normally prevented by the convergence on limit cycle dynamics in which the evolving agents keep progressing against their current competitors by periodical...
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