MLACNN: an attention mechanism-based CNN architecture for predicting genome-wide DNA methylation
Theory Biosci. 2023 Aug 30. doi: 10.1007/s12064-023-00402-3. Online ahead of print.ABSTRACTMethylation is an important epigenetic regulation of methylation genes that plays a crucial role in regulating biological processes. While traditional methods for detecting methylation in biological experiments are constantly improving, the development of artificial intelligence has led to the emergence of deep learning and machine learning methods as a new trend. However, traditional machine learning-based methods rely heavily on manual feature extraction, and most deep learning methods for studying methylation extract fewer feature...
Source: Theory in Biosciences - August 30, 2023 Category: Biology Authors: JianGuo Bai Hai Yang ChangDe Wu Source Type: research
MLACNN: an attention mechanism-based CNN architecture for predicting genome-wide DNA methylation
Theory Biosci. 2023 Aug 30. doi: 10.1007/s12064-023-00402-3. Online ahead of print.ABSTRACTMethylation is an important epigenetic regulation of methylation genes that plays a crucial role in regulating biological processes. While traditional methods for detecting methylation in biological experiments are constantly improving, the development of artificial intelligence has led to the emergence of deep learning and machine learning methods as a new trend. However, traditional machine learning-based methods rely heavily on manual feature extraction, and most deep learning methods for studying methylation extract fewer feature...
Source: Theory in Biosciences - August 30, 2023 Category: Biology Authors: JianGuo Bai Hai Yang ChangDe Wu Source Type: research
MLACNN: an attention mechanism-based CNN architecture for predicting genome-wide DNA methylation
Theory Biosci. 2023 Aug 30. doi: 10.1007/s12064-023-00402-3. Online ahead of print.ABSTRACTMethylation is an important epigenetic regulation of methylation genes that plays a crucial role in regulating biological processes. While traditional methods for detecting methylation in biological experiments are constantly improving, the development of artificial intelligence has led to the emergence of deep learning and machine learning methods as a new trend. However, traditional machine learning-based methods rely heavily on manual feature extraction, and most deep learning methods for studying methylation extract fewer feature...
Source: Theory in Biosciences - August 30, 2023 Category: Biology Authors: JianGuo Bai Hai Yang ChangDe Wu Source Type: research
MLACNN: an attention mechanism-based CNN architecture for predicting genome-wide DNA methylation
Theory Biosci. 2023 Aug 30. doi: 10.1007/s12064-023-00402-3. Online ahead of print.ABSTRACTMethylation is an important epigenetic regulation of methylation genes that plays a crucial role in regulating biological processes. While traditional methods for detecting methylation in biological experiments are constantly improving, the development of artificial intelligence has led to the emergence of deep learning and machine learning methods as a new trend. However, traditional machine learning-based methods rely heavily on manual feature extraction, and most deep learning methods for studying methylation extract fewer feature...
Source: Theory in Biosciences - August 30, 2023 Category: Biology Authors: JianGuo Bai Hai Yang ChangDe Wu Source Type: research
MLACNN: an attention mechanism-based CNN architecture for predicting genome-wide DNA methylation
Theory Biosci. 2023 Aug 30. doi: 10.1007/s12064-023-00402-3. Online ahead of print.ABSTRACTMethylation is an important epigenetic regulation of methylation genes that plays a crucial role in regulating biological processes. While traditional methods for detecting methylation in biological experiments are constantly improving, the development of artificial intelligence has led to the emergence of deep learning and machine learning methods as a new trend. However, traditional machine learning-based methods rely heavily on manual feature extraction, and most deep learning methods for studying methylation extract fewer feature...
Source: Theory in Biosciences - August 30, 2023 Category: Biology Authors: JianGuo Bai Hai Yang ChangDe Wu Source Type: research
MLACNN: an attention mechanism-based CNN architecture for predicting genome-wide DNA methylation
Theory Biosci. 2023 Aug 30. doi: 10.1007/s12064-023-00402-3. Online ahead of print.ABSTRACTMethylation is an important epigenetic regulation of methylation genes that plays a crucial role in regulating biological processes. While traditional methods for detecting methylation in biological experiments are constantly improving, the development of artificial intelligence has led to the emergence of deep learning and machine learning methods as a new trend. However, traditional machine learning-based methods rely heavily on manual feature extraction, and most deep learning methods for studying methylation extract fewer feature...
Source: Theory in Biosciences - August 30, 2023 Category: Biology Authors: JianGuo Bai Hai Yang ChangDe Wu Source Type: research
MLACNN: an attention mechanism-based CNN architecture for predicting genome-wide DNA methylation
Theory Biosci. 2023 Aug 30. doi: 10.1007/s12064-023-00402-3. Online ahead of print.ABSTRACTMethylation is an important epigenetic regulation of methylation genes that plays a crucial role in regulating biological processes. While traditional methods for detecting methylation in biological experiments are constantly improving, the development of artificial intelligence has led to the emergence of deep learning and machine learning methods as a new trend. However, traditional machine learning-based methods rely heavily on manual feature extraction, and most deep learning methods for studying methylation extract fewer feature...
Source: Theory in Biosciences - August 30, 2023 Category: Biology Authors: JianGuo Bai Hai Yang ChangDe Wu Source Type: research
Clustering systems of phylogenetic networks
Theory Biosci. 2023 Aug 12. doi: 10.1007/s12064-023-00398-w. Online ahead of print.ABSTRACTRooted acyclic graphs appear naturally when the phylogenetic relationship of a set X of taxa involves not only speciations but also recombination, horizontal transfer, or hybridization that cannot be captured by trees. A variety of classes of such networks have been discussed in the literature, including phylogenetic, level-1, tree-child, tree-based, galled tree, regular, or normal networks as models of different types of evolutionary processes. Clusters arise in models of phylogeny as the sets [Formula: see text] of descendant taxa ...
Source: Theory in Biosciences - August 12, 2023 Category: Biology Authors: Marc Hellmuth David Schaller Peter F Stadler Source Type: research
Clustering systems of phylogenetic networks
Theory Biosci. 2023 Aug 12. doi: 10.1007/s12064-023-00398-w. Online ahead of print.ABSTRACTRooted acyclic graphs appear naturally when the phylogenetic relationship of a set X of taxa involves not only speciations but also recombination, horizontal transfer, or hybridization that cannot be captured by trees. A variety of classes of such networks have been discussed in the literature, including phylogenetic, level-1, tree-child, tree-based, galled tree, regular, or normal networks as models of different types of evolutionary processes. Clusters arise in models of phylogeny as the sets [Formula: see text] of descendant taxa ...
Source: Theory in Biosciences - August 12, 2023 Category: Biology Authors: Marc Hellmuth David Schaller Peter F Stadler Source Type: research
Clustering systems of phylogenetic networks
Theory Biosci. 2023 Aug 12. doi: 10.1007/s12064-023-00398-w. Online ahead of print.ABSTRACTRooted acyclic graphs appear naturally when the phylogenetic relationship of a set X of taxa involves not only speciations but also recombination, horizontal transfer, or hybridization that cannot be captured by trees. A variety of classes of such networks have been discussed in the literature, including phylogenetic, level-1, tree-child, tree-based, galled tree, regular, or normal networks as models of different types of evolutionary processes. Clusters arise in models of phylogeny as the sets [Formula: see text] of descendant taxa ...
Source: Theory in Biosciences - August 12, 2023 Category: Biology Authors: Marc Hellmuth David Schaller Peter F Stadler Source Type: research
Clustering systems of phylogenetic networks
Theory Biosci. 2023 Aug 12. doi: 10.1007/s12064-023-00398-w. Online ahead of print.ABSTRACTRooted acyclic graphs appear naturally when the phylogenetic relationship of a set X of taxa involves not only speciations but also recombination, horizontal transfer, or hybridization that cannot be captured by trees. A variety of classes of such networks have been discussed in the literature, including phylogenetic, level-1, tree-child, tree-based, galled tree, regular, or normal networks as models of different types of evolutionary processes. Clusters arise in models of phylogeny as the sets [Formula: see text] of descendant taxa ...
Source: Theory in Biosciences - August 12, 2023 Category: Biology Authors: Marc Hellmuth David Schaller Peter F Stadler Source Type: research
Clustering systems of phylogenetic networks
Theory Biosci. 2023 Aug 12. doi: 10.1007/s12064-023-00398-w. Online ahead of print.ABSTRACTRooted acyclic graphs appear naturally when the phylogenetic relationship of a set X of taxa involves not only speciations but also recombination, horizontal transfer, or hybridization that cannot be captured by trees. A variety of classes of such networks have been discussed in the literature, including phylogenetic, level-1, tree-child, tree-based, galled tree, regular, or normal networks as models of different types of evolutionary processes. Clusters arise in models of phylogeny as the sets [Formula: see text] of descendant taxa ...
Source: Theory in Biosciences - August 12, 2023 Category: Biology Authors: Marc Hellmuth David Schaller Peter F Stadler Source Type: research
Clustering systems of phylogenetic networks
Theory Biosci. 2023 Aug 12. doi: 10.1007/s12064-023-00398-w. Online ahead of print.ABSTRACTRooted acyclic graphs appear naturally when the phylogenetic relationship of a set X of taxa involves not only speciations but also recombination, horizontal transfer, or hybridization that cannot be captured by trees. A variety of classes of such networks have been discussed in the literature, including phylogenetic, level-1, tree-child, tree-based, galled tree, regular, or normal networks as models of different types of evolutionary processes. Clusters arise in models of phylogeny as the sets [Formula: see text] of descendant taxa ...
Source: Theory in Biosciences - August 12, 2023 Category: Biology Authors: Marc Hellmuth David Schaller Peter F Stadler Source Type: research
Clustering systems of phylogenetic networks
Theory Biosci. 2023 Aug 12. doi: 10.1007/s12064-023-00398-w. Online ahead of print.ABSTRACTRooted acyclic graphs appear naturally when the phylogenetic relationship of a set X of taxa involves not only speciations but also recombination, horizontal transfer, or hybridization that cannot be captured by trees. A variety of classes of such networks have been discussed in the literature, including phylogenetic, level-1, tree-child, tree-based, galled tree, regular, or normal networks as models of different types of evolutionary processes. Clusters arise in models of phylogeny as the sets [Formula: see text] of descendant taxa ...
Source: Theory in Biosciences - August 12, 2023 Category: Biology Authors: Marc Hellmuth David Schaller Peter F Stadler Source Type: research
Clustering systems of phylogenetic networks
Theory Biosci. 2023 Aug 12. doi: 10.1007/s12064-023-00398-w. Online ahead of print.ABSTRACTRooted acyclic graphs appear naturally when the phylogenetic relationship of a set X of taxa involves not only speciations but also recombination, horizontal transfer, or hybridization that cannot be captured by trees. A variety of classes of such networks have been discussed in the literature, including phylogenetic, level-1, tree-child, tree-based, galled tree, regular, or normal networks as models of different types of evolutionary processes. Clusters arise in models of phylogeny as the sets [Formula: see text] of descendant taxa ...
Source: Theory in Biosciences - August 12, 2023 Category: Biology Authors: Marc Hellmuth David Schaller Peter F Stadler Source Type: research
