AIMC Topic: DNA

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Response to: 'On using machine learning algorithms to define clinically meaningful patient subgroups' by Knevel and Huizinga.

Annals of the rheumatic diseases Aug 17, 2019
Machine Learning Algorithms DNA Humans
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BindSpace decodes transcription factor binding signals by large-scale sequence embedding.

Nature methods Aug 12, 2019
The decoding of transcription factor (TF) binding signals in genomic DNA is a fundamental problem. Here we present a prediction model called BindSpace that learns to embed DNA sequences and TF labels into the same space. By training on binding data f...
Humans Machine Learning Algorithms DNA Binding Sites Chromatin Immunoprecipitation Protein Binding Computational Biology Transcription Factors
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Developmental validation of PACE™: Automated artifact identification and contributor estimation for use with GlobalFiler™ and PowerPlex® fusion 6c generated data.

Forensic science international. Genetics Aug 8, 2019
DNA mixture interpretation remains one of the major challenges in forensic DNA analysis. DNA mixture samples are inherently complex due to several factors including the variations in the quantity of DNA, the presence of non-allelic artifactual peaks ...
Machine Learning Polymerase Chain Reaction Algorithms DNA DNA Fingerprinting Models, Statistical Humans Alleles Artifacts
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On using machine learning algorithms to define clinically meaningful patient subgroups.

Annals of the rheumatic diseases Jul 11, 2019
Humans Machine Learning Algorithms DNA
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Enabling full-length evolutionary profiles based deep convolutional neural network for predicting DNA-binding proteins from sequence.

Proteins Jul 8, 2019
Sequence based DNA-binding protein (DBP) prediction is a widely studied biological problem. Sliding windows on position specific substitution matrices (PSSMs) rows predict DNA-binding residues well on known DBPs but the same models cannot be applied ...
Animals Mice DNA Humans Neural Networks, Computer Protein Conformation Binding Sites Arabidopsis Proteins Amino Acids DNA-Binding Proteins Models, Biological Arabidopsis
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Deep learning-based selection of human sperm with high DNA integrity.

Communications biology Jul 3, 2019
Despite the importance of sperm DNA to human reproduction, currently no method exists to assess individual sperm DNA quality prior to clinical selection. Traditionally, skilled clinicians select sperm based on a variety of morphological and motility ...
Learning Curve Bayes Theorem Chromatin Humans Spermatozoa Semen Analysis Male Neural Networks, Computer Healthy Volunteers DNA Fragmentation Deep Learning Normal Distribution DNA
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On using machine learning algorithms to define clinically meaningful patient subgroups.

Annals of the rheumatic diseases Jun 21, 2019
Autoantibodies Humans Machine Learning DNA
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Modeling in-vivo protein-DNA binding by combining multiple-instance learning with a hybrid deep neural network.

Scientific reports Jun 11, 2019
Modeling in-vivo protein-DNA binding is not only fundamental for further understanding of the regulatory mechanisms, but also a challenging task in computational biology. Deep-learning based methods have succeed in modeling in-vivo protein-DNA bindin...
Humans Neural Networks, Computer Algorithms Deep Learning Protein Binding DNA DNA-Binding Proteins Models, Biological
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An Intelligent DNA Nanorobot with Enhanced Protein Lysosomal Degradation of HER2.

Nano letters Jun 5, 2019
DNA nanorobots have emerged as new tools for nanomedicine with the potential to ameliorate the delivery and anticancer efficacy of various drugs. DNA nanostructures have been considered one of the most promising nanocarriers. In the present study, we...
Proteolysis Endocytosis Lysosomes Xenograft Model Antitumor Assays Receptor, ErbB-2 Robotics DNA Drug Delivery Systems Animals Mice Aptamers, Nucleotide Humans Mice, Nude Female MCF-7 Cells Breast Neoplasms
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DP-BINDER: machine learning model for prediction of DNA-binding proteins by fusing evolutionary and physicochemical information.

Journal of computer-aided molecular design May 23, 2019
DNA-binding proteins (DBPs) participate in various biological processes including DNA replication, recombination, and repair. In the human genome, about 6-7% of these proteins are utilized for genes encoding. DBPs shape the DNA into a compact structu...
Binding Sites Humans Databases, Protein DNA Machine Learning Position-Specific Scoring Matrices DNA-Binding Proteins Algorithms Animals Support Vector Machine Evolution, Molecular
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