Genetics

Latest AI and machine learning research in genetics for healthcare professionals.

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Computational methods and next-generation sequencing approaches to analyze epigenetics data: Profiling of methods and applications.

Epigenetics is mainly comprised of features that regulate genomic interactions thereby playing a cru...

Sep 2020 32941995
Machine Learning Prediction of Electronic Coupling between the Guanine Bases of DNA.

Charge transport in deoxyribonucleic acid (DNA) is of immense interest in biology and molecular elec...

Sep 2020 32876443
Understanding and predicting ciprofloxacin minimum inhibitory concentration in Escherichia coli with machine learning.

It is important that antibiotics prescriptions are based on antimicrobial susceptibility data to ens...

Sep 2020 32929164
A Novel Human Diabetes Biomarker Recognition Approach Using Fuzzy Rough Multigranulation Nearest Neighbour Classifier Model.

The selection of gene identifier from microarray databases is a challenging task since microarray co...

Sep 2020 32920773
iDRBP_MMC: Identifying DNA-Binding Proteins and RNA-Binding Proteins Based on Multi-Label Learning Model and Motif-Based Convolutional Neural Network.

DNA-binding protein (DBP) and RNA-binding protein (RBP) are playing crucial roles in gene expression...

Sep 2020 32920048
Accurate prediction of DNA N-methylcytosine sites via boost-learning various types of sequence features.

BACKGROUND: DNA N4-methylcytosine (4mC) is a critical epigenetic modification and has various roles ...

Sep 2020 32917152
Insect-inspired jumping robots: challenges and solutions to jump stability.

Some insects can jump to heights that are several times their body length. At smaller scales, jumpin...

Sep 2020 32920181
Machine Learning Strategy for Gut Microbiome-Based Diagnostic Screening of Cardiovascular Disease.

Cardiovascular disease (CVD) is the number one leading cause for human mortality. Besides genetics a...

Sep 2020 32909848
Estimating the Binding of Sars-CoV-2 Peptides to HLA Class I in Human Subpopulations Using Artificial Neural Networks.

Epidemiological studies show that SARS-CoV-2 infection leads to severe symptoms only in a fraction o...

Sep 2020 32916095
A Deep Learning Framework Identifies Pathogenic Noncoding Somatic Mutations from Personal Prostate Cancer Genomes.

Our understanding of noncoding mutations in cancer genomes has been derived primarily from mutationa...

Sep 2020 32907840
Unsupervised Clustering of Missense Variants in HNF1A Using Multidimensional Functional Data Aids Clinical Interpretation.

Exome sequencing in diabetes presents a diagnostic challenge because depending on frequency, functio...

Sep 2020 32910913
Molecular barcoding of native RNAs using nanopore sequencing and deep learning.

Nanopore sequencing enables direct measurement of RNA molecules without conversion to cDNA, thus ope...

Sep 2020 32907883
Identification of the human DPR core promoter element using machine learning.

The RNA polymerase II (Pol II) core promoter is the strategic site of convergence of the signals tha...

Sep 2020 32908305
Incomplete multi-view gene clustering with data regeneration using Shape Boltzmann Machine.

Deciphering patterns in the structural and functional anatomy of genes can prove to be very helpful ...

Sep 2020 32931989
MosaicBase: A Knowledgebase of Postzygotic Mosaic Variants in Noncancer Disease-related and Healthy Human Individuals.

Mosaic variants resulting from postzygotic mutations are prevalent in the human genome and play impo...

Sep 2020 32911083
Fluence Map Prediction Using Deep Learning Models - Direct Plan Generation for Pancreas Stereotactic Body Radiation Therapy.

Treatment planning for pancreas stereotactic body radiation therapy (SBRT) is a difficult and time-...

Sep 2020 33733185
PCR-detectable DNA exists a short period in the blood of systemic candidiasis murine model.

Invasive candidiasis is a major challenge to clinical medicine today. However, traditional fungal di...

Sep 2020 33817256
Sequence-enabled community-based microbial source tracking in surface waters using machine learning classification: A review.

The development of Microbial Source Tracking (MST) technologies was borne out of necessity. This was...

Sep 2020 32891632
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