AIMC Topic: Anopheles
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Using mid-infrared spectroscopy and supervised machine-learning to identify vertebrate blood meals in the malaria vector, Anopheles arabiensis.
Malaria journal
May 30, 2019
BACKGROUND: The propensity of different Anopheles mosquitoes to bite humans instead of other vertebrates influences their capacity to transmit pathogens to humans. Unfortunately, determining proportions of mosquitoes that have fed on humans, i.e. Hum...
diploS/HIC: An Updated Approach to Classifying Selective Sweeps.
G3 (Bethesda, Md.)
May 31, 2018
Identifying selective sweeps in populations that have complex demographic histories remains a difficult problem in population genetics. We previously introduced a supervised machine learning approach, S/HIC, for finding both hard and soft selective s...
Identifying targets of selection in mosaic genomes with machine learning: applications in Anopheles gambiae for detecting sites within locally adapted chromosomal inversions.
Molecular ecology
Apr 20, 2016
Chromosomal inversions are important structural changes that may facilitate divergent selection when they capture co-adaptive loci in the face of gene flow. However, identifying selection targets within inversions can be challenging. The high degrees...
Discovery of Ongoing Selective Sweeps within Anopheles Mosquito Populations Using Deep Learning.
Molecular biology and evolution
Mar 9, 2021
Identification of partial sweeps, which include both hard and soft sweeps that have not currently reached fixation, provides crucial information about ongoing evolutionary responses. To this end, we introduce partialS/HIC, a deep learning method to d...
Genome-wide pre-miRNA discovery from few labeled examples.
Bioinformatics (Oxford, England)
Feb 15, 2018
MOTIVATION: Although many machine learning techniques have been proposed for distinguishing miRNA hairpins from other stem-loop sequences, most of the current methods use supervised learning, which requires a very good set of positive and negative ex...
A neural network prediction of environmental determinants of Anopheles sinensis knockdown resistance mutation to pyrethroids in China.
Journal of vector ecology : journal of the Society for Vector Ecology
Dec 1, 2016
Selection pressure caused by long-term intensive use of insecticides is the key driving force in resistance development. Additional parameters such as environmental conditions may affect both the mosquito response to insecticides and the selection of...
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