Identification of natural selection in genomic data with deep convolutional neural network
Background: With the increase in the size of genomic datasets describing variability in populations, extracting relevant information becomes increasingly useful as well as complex. Recently, computational methodologies such as Supervised Machine Learning and specifically Convolutional Neural Network...
Main Authors: | Bertorelle, G. (Author), Nguembang Fadja, A. (Author), Riguzzi, F. (Author), Trucchi, E. (Author) |
---|---|
Format: | Article |
Language: | English |
Published: |
BioMed Central Ltd
2021
|
Subjects: | |
Online Access: | View Fulltext in Publisher |
Similar Items
-
ImaGene: a convolutional neural network to quantify natural selection from genomic data
by: Luis Torada, et al.
Published: (2019-11-01) -
A taxonomy of Deep Convolutional Neural Nets for Computer Vision
by: Suraj eSrinivas, et al.
Published: (2016-01-01) -
Applications of deep convolutional neural networks to digitized natural history collections
by: Eric Schuettpelz, et al.
Published: (2017-11-01) -
The Study of The Convolutional Neural Networks Applications
by: Ahmed Saadaldin Shamsaldin, et al.
Published: (2019-12-01) -
Natural Disasters Intensity Analysis and Classification Based on Multispectral Images Using Multi-Layered Deep Convolutional Neural Network
by: Muhammad Aamir, et al.
Published: (2021-04-01)