AIMC Topic: DNA
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Decoding whole-genome mutational signatures in 37 human pan-cancers by denoising sparse autoencoder neural network.
Oncogene
Jun 11, 2020
Millions of somatic mutations have recently been discovered in cancer genomes. These mutations in cancer genomes occur due to internal and external mutagenesis forces. Decoding the mutational processes by examining their unique patterns has successfu...
Homogeneous DNA-only keypad locks enable one-pot assay of multi-inputs.
Chemical communications (Cambridge, England)
Jun 3, 2020
Homogeneous DNA-only keypad locks were built with multi-stranded scalable junction substrates and a series of double-stranded eliminators to differentially process correctly- and wrongly-added DNA inputs, respectively. Unlike conventional strategies ...
Haruspex: A Neural Network for the Automatic Identification of Oligonucleotides and Protein Secondary Structure in Cryo-Electron Microscopy Maps.
Angewandte Chemie (International ed. in English)
May 11, 2020
In recent years, three-dimensional density maps reconstructed from single particle images obtained by electron cryo-microscopy (cryo-EM) have reached unprecedented resolution. However, map interpretation can be challenging, in particular if the const...
Multiview learning for understanding functional multiomics.
PLoS computational biology
Apr 2, 2020
The molecular mechanisms and functions in complex biological systems currently remain elusive. Recent high-throughput techniques, such as next-generation sequencing, have generated a wide variety of multiomics datasets that enable the identification ...
An Intelligent Optimization Algorithm for Constructing a DNA Storage Code: NOL-HHO.
International journal of molecular sciences
Mar 22, 2020
The high density, large capacity, and long-term stability of DNA molecules make them an emerging storage medium that is especially suitable for the long-term storage of large datasets. The DNA sequences used in storage need to consider relevant const...
Molecular and DNA Artificial Neural Networks via Fractional Coding.
IEEE transactions on biomedical circuits and systems
Mar 9, 2020
This article considers implementation of artificial neural networks (ANNs) using molecular computing and DNA based on fractional coding. Prior work had addressed molecular two-layer ANNs with binary inputs and arbitrary weights. In prior work using f...
ProNA2020 predicts protein-DNA, protein-RNA, and protein-protein binding proteins and residues from sequence.
Journal of molecular biology
Mar 4, 2020
The intricate details of how proteins bind to proteins, DNA, and RNA are crucial for the understanding of almost all biological processes. Disease-causing sequence variants often affect binding residues. Here, we described a new, comprehensive system...
Virtual genetic diagnosis for familial hypercholesterolemia powered by machine learning.
European journal of preventive cardiology
Feb 4, 2020
AIMS: Familial hypercholesterolemia (FH) is the most common genetic disorder of lipid metabolism. The gold standard for FH diagnosis is genetic testing, available, however, only in selected university hospitals. Clinical scores - for example, the Dut...
DNA is not an ontologically distinctive developmental cause.
Studies in history and philosophy of biological and biomedical sciences
Dec 30, 2019
In this article I critically evaluate the thesis that DNA is an ontologically distinctive developmental cause. I shall critically analyse different versions of the latter thesis by taking into consideration concrete developmental cases. I shall argue...
Epigenetics Analysis and Integrated Analysis of Multiomics Data, Including Epigenetic Data, Using Artificial Intelligence in the Era of Precision Medicine.
Biomolecules
Dec 30, 2019
To clarify the mechanisms of diseases, such as cancer, studies analyzing genetic mutations have been actively conducted for a long time, and a large number of achievements have already been reported. Indeed, genomic medicine is considered the core di...
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