Genetics

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

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Showing 5251-5271 of 11,138 articles
An overview and metanalysis of machine and deep learning-based CRISPR gRNA design tools.

The CRISPR-Cas9 system has become the most promising and versatile tool for genetic manipulation app...

Sep 2019 31533522
Investigation of machine learning techniques on proteomics: A comprehensive survey.

Proteomics is the extensive investigation of proteins which has empowered the recognizable proof of ...

Sep 2019 31568792
Capsule Network for Predicting RNA-Protein Binding Preferences Using Hybrid Feature.

RNA-Protein binding is involved in many different biological processes. With the progress of technol...

Sep 2019 31562101
Optimized CRISPR guide RNA design for two high-fidelity Cas9 variants by deep learning.

Highly specific Cas9 nucleases derived from SpCas9 are valuable tools for genome editing, but their ...

Sep 2019 31537810
Predicting CRISPR/Cas9-Induced Mutations for Precise Genome Editing.

SpCas9 creates blunt end cuts in the genome and generates random and unpredictable mutations through...

Sep 2019 31526571
A classification model for lncRNA and mRNA based on k-mers and a convolutional neural network.

BACKGROUND: Long-chain non-coding RNA (lncRNA) is closely related to many biological activities. Sin...

Sep 2019 31519146
Unsupervised machine learning reveals mimicry complexes in bumblebees occur along a perceptual continuum.

Müllerian mimicry theory states that frequency-dependent selection should favour geographical conver...

Sep 2019 31506052
econvRBP: Improved ensemble convolutional neural networks for RNA binding protein prediction directly from sequence.

RNA binding proteins (RBPs) determine RNA process from synthesis to decay, which play a key role in ...

Sep 2019 31513916
Machine learning predicts putative hematopoietic stem cells within large single-cell transcriptomics data sets.

Hematopoietic stem cells (HSCs) are an essential source and reservoir for normal hematopoiesis, and ...

Sep 2019 31513832
Growth Inhibitory and Pro-Apoptotic Effects of Ornamental Pomegranate Extracts in Du145 Human Prostate Cancer Cells.

Prostate cancer is the most common form of cancer in the male. Epidemiological studies have associa...

Sep 2019 32378433
Profiling of Exosomal Biomarkers for Accurate Cancer Identification: Combining DNA-PAINT with Machine- Learning-Based Classification.

Exosomes are endosome-derived vesicles enriched in body fluids such as urine, blood, and saliva. So ...

Sep 2019 31478613
FKRR-MVSF: A Fuzzy Kernel Ridge Regression Model for Identifying DNA-Binding Proteins by Multi-View Sequence Features via Chou's Five-Step Rule.

DNA-binding proteins play an important role in cell metabolism. In biological laboratories, the dete...

Aug 2019 31454964
Automated estimation of the number of contributors in autosomal short tandem repeat profiles using a machine learning approach.

The number of contributors (NOC) to (complex) autosomal STR profiles cannot be determined with absol...

Aug 2019 31476660
Machine learning enables detection of early-stage colorectal cancer by whole-genome sequencing of plasma cell-free DNA.

BACKGROUND: Blood-based methods using cell-free DNA (cfDNA) are under development as an alternative ...

Aug 2019 31443703
A non-linear mathematical model using optical sensor to predict heart decellularization efficacy.

One of the main problems of the decellularization technique is the subjectivity of the final evaluat...

Aug 2019 31434981
Identification of prokaryotic promoters and their strength by integrating heterogeneous features.

The promoter is a regulatory DNA region and important for gene transcriptional regulation. It is loc...

Aug 2019 31437540
Artificial intelligence and avian influenza: Using machine learning to enhance active surveillance for avian influenza viruses.

Influenza A viruses are one of the most significant viral groups globally with substantial impacts o...

Aug 2019 31376332
Designing Eukaryotic Gene Expression Regulation Using Machine Learning.

Controlling the expression of genes is one of the key challenges of synthetic biology. Until recentl...

Aug 2019 31431299
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