Correspondence between neuroevolution and gradient descent [PDF]
, 2020 We show analytically that training a neural network by conditioned stochastic mutation or neuroevolution of its weights is equivalent, in the limit of small mutations, to gradient descent on the loss function in the presence of Gaussian white noise. Averaged over independent realizations of the learning process, neuroevolution is equivalent to gradient
arxiv +1 more source
Correcting the apparent mutation rate acceleration at shorter time scales under a Jukes-Cantor model [PDF]
Molecular Biology and Evolution, Volume 29, Issue 12, December
2012, Pages 3703-3709, 2011 At macroevolutionary time scales, and for a constant mutation rate, there is an expected linear relationship between time and the number of inferred neutral mutations (the "molecular clock"). However, at shorter time scales a number of recent studies have observed an apparent acceleration in the rate of molecular evolution.
arxiv +1 more source
Predicting isocitrate dehydrogenase mutation status in glioma using structural brain networks and graph neural networks [PDF]
arXiv, 2021 Glioma is a common malignant brain tumor with distinct survival among patients. The isocitrate dehydrogenase (IDH) gene mutation provides critical diagnostic and prognostic value for glioma. It is of crucial significance to non-invasively predict IDH mutation based on pre-treatment MRI.
arxiv
A closer look at ARSA activity in a patient with metachromatic leukodystrophy. [PDF]
, 2019 Metachromatic leukodystrophy (MLD) is an autosomal recessive lysosomal storage disease mainly caused by a deficiency of arylsulfatase A activity. The typical clinical course of patients with the late infantile form includes a regression in motor skills ...
Childers, Anna +6 more
core +2 more sources
D-Score: A White-Box Diagnosis Score for CNNs Based on Mutation Operators [PDF]
arXiv, 2023 Convolutional neural networks (CNNs) have been widely applied in many safety-critical domains, such as autonomous driving and medical diagnosis. However, concerns have been raised with respect to the trustworthiness of these models: The standard testing method evaluates the performance of a model on a test set, while low-quality and insufficient test ...
arxiv
Plasmid-based lacZalpha assay for DNA polymerase fidelity: application to archaeal family-B DNA polymerase [PDF]
, 2009 The preparation of a gapped pUC18 derivative, containing the lacZalpha reporter gene in the single-stranded region, is described. Gapping is achieved by flanking the lacZalpha gene with sites for two related nicking endonucleases, enabling the excision ...
Bebenek +28 more
core +2 more sources
Allelic Heterogeneity at the Equine KIT Locus in Dominant White (W) Horses [PDF]
, 2007 White coat color has been a highly valued trait in horses for at least 2,000 years. Dominant white (W) is one of several known depigmentation phenotypes in horses.
Angela Schlumbaum +11 more
core +5 more sources
The novel MAPT mutation K298E:mechanisms of mutant tau toxicity, brain pathology and tau expression in induced fibroblast-derived neurons [PDF]
, 2013 Frontotemporal lobar degeneration (FTLD) consists of a group of neurodegenerative diseases characterized by behavioural and executive impairment, language disorders and motor dysfunction.
Calo, Laura +11 more
core +3 more sources
Overexpressing temperature-sensitive dynamin decelerates phototransduction and bundles microtubules in drosophila photoreceptors [PDF]
, 2009 shibire(ts1), a temperature-sensitive mutation of the Drosophila gene encoding a Dynamin orthologue, blocks vesicle endocytosis and thus synaptic transmission, at elevated, or restrictive temperatures.
Gonzalez-Bellido, P.T. +4 more
core +1 more source
arXiv, 2023 A mutation cycle is a cycle in a graph whose vertices are labeled by the quivers in a given mutation class and whose edges correspond to single mutations. For any fixed $n\ge 4$, we describe arbitrarily long mutation cycles involving $n$-vertex quivers.
arxiv