<p>The figure shows an approximation of a 15-dimensional embedding of amino acids, learned by a neural network trained on the natural protein task. The projection to 2D is accomplished via principal component analysis.</p
Proteins are the basic building blocks of biological organisms, and are responsible for a variety of...
A neural network (NN) was trained on amino and nucleic acid sequences to test the NN’s ability to pr...
Three-dimensional (3D) structures of protein backbones have been pre-dicted using neural networks. A...
<p>The “natural protein” auxiliary task aiming to model the local patterns of amino acids that natur...
Motivation: Machine-learning models trained on protein sequences and their measured functions can in...
<p>Given an input amino acid sequence, the neural network outputs a posterior distribution over the ...
Single amino acid substitutions are associated with certain inherited genetic disorders, such as sic...
Proteins play a vital role in every organism. The role played by a protein is mostly due to its stru...
Background The number of applications of deep learning algorithms in bioinformatics is increasing as...
A protein performs biological functions by folding to a particular 3D structure. To accurately model...
Research has shown that the functionalities of proteins are largely influenced by their three dimens...
AbstractThree-dimensional structures of protein backbones have been predicted using neural networks....
A neural network (NN) was trained on amino and nucleic acid sequences to test the NN’s ability to pr...
The mapping of categorical variables into numerical values is common in machine learning classificat...
Artificial neural network is a mathematical model that imitates low level intellect in naturally occ...
Proteins are the basic building blocks of biological organisms, and are responsible for a variety of...
A neural network (NN) was trained on amino and nucleic acid sequences to test the NN’s ability to pr...
Three-dimensional (3D) structures of protein backbones have been pre-dicted using neural networks. A...
<p>The “natural protein” auxiliary task aiming to model the local patterns of amino acids that natur...
Motivation: Machine-learning models trained on protein sequences and their measured functions can in...
<p>Given an input amino acid sequence, the neural network outputs a posterior distribution over the ...
Single amino acid substitutions are associated with certain inherited genetic disorders, such as sic...
Proteins play a vital role in every organism. The role played by a protein is mostly due to its stru...
Background The number of applications of deep learning algorithms in bioinformatics is increasing as...
A protein performs biological functions by folding to a particular 3D structure. To accurately model...
Research has shown that the functionalities of proteins are largely influenced by their three dimens...
AbstractThree-dimensional structures of protein backbones have been predicted using neural networks....
A neural network (NN) was trained on amino and nucleic acid sequences to test the NN’s ability to pr...
The mapping of categorical variables into numerical values is common in machine learning classificat...
Artificial neural network is a mathematical model that imitates low level intellect in naturally occ...
Proteins are the basic building blocks of biological organisms, and are responsible for a variety of...
A neural network (NN) was trained on amino and nucleic acid sequences to test the NN’s ability to pr...
Three-dimensional (3D) structures of protein backbones have been pre-dicted using neural networks. A...
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