Genetics

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

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Machine learning application identifies novel gene signatures from transcriptomic data of spontaneous canine hemangiosarcoma.

Angiosarcomas are soft-tissue sarcomas that form malignant vascular tissues. Angiosarcomas are very ...

Jul 2021 33078825
Prognostic outcome prediction by semi-supervised least squares classification.

Although great progress has been made in prognostic outcome prediction, small sample size remains a ...

Jul 2021 33094318
Prediction of driver variants in the cancer genome via machine learning methodologies.

Sequencing technologies have led to the identification of many variants in the human genome which co...

Jul 2021 33094325
Revisiting genome-wide association studies from statistical modelling to machine learning.

Over the last decade, genome-wide association studies (GWAS) have discovered thousands of genetic va...

Jul 2021 33126243
Identification of pan-cancer Ras pathway activation with deep learning.

The identification of hidden responders is often an essential challenge in precision oncology. A rec...

Jul 2021 33126245
Computational prediction and interpretation of cell-specific replication origin sites from multiple eukaryotes by exploiting stacking framework.

Origins of replication sites (ORIs), which refers to the initiative locations of genomic DNA replica...

Jul 2021 33152766
DeepSSV: detecting somatic small variants in paired tumor and normal sequencing data with convolutional neural network.

It is of considerable interest to detect somatic mutations in paired tumor and normal sequencing dat...

Jul 2021 33164053
Iterative feature representation algorithm to improve the predictive performance of N7-methylguanosine sites.

MOTIVATION: N7-methylguanosine (m7G) is an important epigenetic modification, playing an essential r...

Jul 2021 33169141
Computational identification of eukaryotic promoters based on cascaded deep capsule neural networks.

A promoter is a region in the DNA sequence that defines where the transcription of a gene by RNA pol...

Jul 2021 33227813
Recent advances in network-based methods for disease gene prediction.

Disease-gene association through genome-wide association study (GWAS) is an arduous task for researc...

Jul 2021 33276376
Coupled co-clustering-based unsupervised transfer learning for the integrative analysis of single-cell genomic data.

Unsupervised methods, such as clustering methods, are essential to the analysis of single-cell genom...

Jul 2021 33279962
Do we need different machine learning algorithms for QSAR modeling? A comprehensive assessment of 16 machine learning algorithms on 14 QSAR data sets.

Although a wide variety of machine learning (ML) algorithms have been utilized to learn quantitative...

Jul 2021 33313673
A comprehensive survey on computational methods of non-coding RNA and disease association prediction.

The studies on relationships between non-coding RNAs and diseases are widely carried out in recent y...

Jul 2021 33341893
Deep forest ensemble learning for classification of alignments of non-coding RNA sequences based on multi-view structure representations.

Non-coding RNAs (ncRNAs) play crucial roles in multiple biological processes. However, only a few nc...

Jul 2021 33367506
Machine learning-based integrative analysis of methylome and transcriptome identifies novel prognostic DNA methylation signature in uveal melanoma.

Uveal melanoma (UVM) is the most common primary intraocular human malignancy with a high mortality r...

Jul 2021 33367533
A deep learning approach for filtering structural variants in short read sequencing data.

Short read whole genome sequencing has become widely used to detect structural variants in human gen...

Jul 2021 33378767
Heuristic hyperparameter optimization of deep learning models for genomic prediction.

There is a growing interest among quantitative geneticists and animal breeders in the use of deep le...

Jul 2021 33993261
Thousands of induced germline mutations affecting immune cells identified by automated meiotic mapping coupled with machine learning.

Forward genetic studies use meiotic mapping to adduce evidence that a particular mutation, normally ...

Jul 2021 34260399
CROTON: an automated and variant-aware deep learning framework for predicting CRISPR/Cas9 editing outcomes.

MOTIVATION: CRISPR/Cas9 is a revolutionary gene-editing technology that has been widely utilized in ...

Jul 2021 34252931
Cardiovascular RNA markers and artificial intelligence may improve COVID-19 outcome: a position paper from the EU-CardioRNA COST Action CA17129.

The coronavirus disease 2019 (COVID-19) pandemic has been as unprecedented as unexpected, affecting ...

Jul 2021 33839767
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