Genetics

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

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Deep embedded clustering with multiple objectives on scRNA-seq data.

In recent years, single-cell RNA sequencing (scRNA-seq) technologies have been widely adopted to int...

Sep 2021 33822877
SAResNet: self-attention residual network for predicting DNA-protein binding.

Knowledge of the specificity of DNA-protein binding is crucial for understanding the mechanisms of g...

Sep 2021 33837387
usDSM: a novel method for deleterious synonymous mutation prediction using undersampling scheme.

Although synonymous mutations do not alter the encoded amino acids, they may impact protein function...

Sep 2021 33866367
Improving feature selection performance for classification of gene expression data using Harris Hawks optimizer with variable neighborhood learning.

Gene expression profiling has played a significant role in the identification and classification of ...

Sep 2021 33876181
Deep learning of gene relationships from single cell time-course expression data.

Time-course gene-expression data have been widely used to infer regulatory and signaling relationshi...

Sep 2021 33876191
Applying Machine Learning to Stem Cell Culture and Differentiation.

Machine learning techniques are increasingly becoming incorporated into biological research workflow...

Sep 2021 34529356
Geometric deep learning of RNA structure.

RNA molecules adopt three-dimensional structures that are critical to their function and of interest...

Aug 2021 34446608
Bound2Learn: a machine learning approach for classification of DNA-bound proteins from single-molecule tracking experiments.

DNA-bound proteins are essential elements for the maintenance, regulation, and use of the genome. Th...

Aug 2021 33744965
RNAProt: an efficient and feature-rich RNA binding protein binding site predictor.

BACKGROUND: Cross-linking and immunoprecipitation followed by next-generation sequencing (CLIP-seq) ...

Aug 2021 34406415
Artificial intelligence for proteomics and biomarker discovery.

There is an avalanche of biomedical data generation and a parallel expansion in computational capabi...

Aug 2021 34411543
Interpreting machine learning models to investigate circadian regulation and facilitate exploration of clock function.

The circadian clock is an important adaptation to life on Earth. Here, we use machine learning to pr...

Aug 2021 34353905
Optical microlever assisted DNA stretching.

Optical microrobotics is an emerging field that has the potential to improve upon current optical tw...

Aug 2021 34614903
Radiogenomic and Deep Learning Network Approaches to Predict Mutation from Radiotherapy Plan CT.

BACKGROUND/AIM: We aimed to investigate the role of radiogenomic and deep learning approaches in pre...

Aug 2021 34281860
Predictive Models of Genetic Redundancy in Arabidopsis thaliana.

Genetic redundancy refers to a situation where an individual with a loss-of-function mutation in one...

Jul 2021 33871641
dSPRINT: predicting DNA, RNA, ion, peptide and small molecule interaction sites within protein domains.

Domains are instrumental in facilitating protein interactions with DNA, RNA, small molecules, ions a...

Jul 2021 33999210
Synthetic observations from deep generative models and binary omics data with limited sample size.

Deep generative models can be trained to represent the joint distribution of data, such as measureme...

Jul 2021 33003196
SICaRiO: short indel call filtering with boosting.

Despite impressive improvement in the next-generation sequencing technology, reliable detection of i...

Jul 2021 33003198
Predicting the interaction biomolecule types for lncRNA: an ensemble deep learning approach.

Long noncoding RNAs (lncRNAs) play significant roles in various physiological and pathological proce...

Jul 2021 33003205
A survey on deep learning in DNA/RNA motif mining.

DNA/RNA motif mining is the foundation of gene function research. The DNA/RNA motif mining plays an ...

Jul 2021 33005921
A comprehensive comparison of residue-level methylation levels with the regression-based gene-level methylation estimations by ReGear.

MOTIVATION: DNA methylation is a biological process impacting the gene functions without changing th...

Jul 2021 33048108
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