Genetics

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

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lncRNAKB, a knowledgebase of tissue-specific functional annotation and trait association of long noncoding RNA.

Long non-coding RNA Knowledgebase (lncRNAKB) is an integrated resource for exploring lncRNA biology ...

Oct 2020 33020484
Machine Learning to Improve the Sensing of Biomolecules by Conical Track-Etched Nanopore.

Single nanopore is a powerful platform to detect, discriminate and identify biomacromolecules. Among...

Oct 2020 33028025
Deep neural network improves the estimation of polygenic risk scores for breast cancer.

Polygenic risk scores (PRS) estimate the genetic risk of an individual for a complex disease based o...

Oct 2020 33009504
Recent advances on the machine learning methods in predicting ncRNA-protein interactions.

Recent transcriptomics and bioinformatics studies have shown that ncRNAs can affect chromosome struc...

Oct 2020 33006667
A Novel Strategy for the Development of Vaccines for SARS-CoV-2 (COVID-19) and Other Viruses Using AI and Viral Shell Disorder.

A model that predicts levels of coronavirus (CoV) respiratory and fecal-oral transmission potentials...

Oct 2020 33006287
Metabolic pathway inference using multi-label classification with rich pathway features.

Metabolic inference from genomic sequence information is a necessary step in determining the capacit...

Oct 2020 33001968
The application of deep learning for the classification of correct and incorrect SNP genotypes from whole-genome DNA sequencing pipelines.

A downside of next-generation sequencing technology is the high technical error rate. We built a too...

Sep 2020 32996082
Characterizing CDK12-Mutated Prostate Cancers.

PURPOSE: Cyclin-dependent kinase 12 (CDK12) aberrations have been reported as a biomarker of respons...

Sep 2020 32988971
Deep learning of immune cell differentiation.

Although we know many sequence-specific transcription factors (TFs), how the DNA sequence of cis-reg...

Sep 2020 32978299
Genome-wide association study-based deep learning for survival prediction.

Informative and accurate survival prediction with individualized dynamic risk profiles over time is ...

Sep 2020 32974946
LncMirNet: Predicting LncRNA-miRNA Interaction Based on Deep Learning of Ribonucleic Acid Sequences.

Long non-coding RNA (LncRNA) and microRNA (miRNA) are both non-coding RNAs that play significant reg...

Sep 2020 32977679
Identification of risk features for complication in Gaucher's disease patients: a machine learning analysis of the Spanish registry of Gaucher disease.

BACKGROUND: Since enzyme replacement therapy for Gaucher disease (MIM#230800) has become available, ...

Sep 2020 32962737
A machine learning algorithm to increase COVID-19 inpatient diagnostic capacity.

Worldwide, testing capacity for SARS-CoV-2 is limited and bottlenecks in the scale up of polymerase ...

Sep 2020 32960917
Keeping up with the genomes: efficient learning of our increasing knowledge of the tree of life.

BACKGROUND: It is a computational challenge for current metagenomic classifiers to keep up with the ...

Sep 2020 32957925
Amplification Curve Analysis: Data-Driven Multiplexing Using Real-Time Digital PCR.

Information about the kinetics of PCR reactions is encoded in the amplification curve. However, in d...

Sep 2020 32946688
Short k-mer abundance profiles yield robust machine learning features and accurate classifiers for RNA viruses.

High-throughput sequencing technologies have greatly enabled the study of genomics, transcriptomics ...

Sep 2020 32946529
Evaluating the informativeness of deep learning annotations for human complex diseases.

Deep learning models have shown great promise in predicting regulatory effects from DNA sequence, bu...

Sep 2020 32943643
CORENup: a combination of convolutional and recurrent deep neural networks for nucleosome positioning identification.

BACKGROUND: Nucleosomes wrap the DNA into the nucleus of the Eukaryote cell and regulate its transcr...

Sep 2020 32938377
DeepHE: Accurately predicting human essential genes based on deep learning.

Accurately predicting essential genes using computational methods can greatly reduce the effort in f...

Sep 2020 32936825
Deep learning based feature-level integration of multi-omics data for breast cancer patients survival analysis.

BACKGROUND: Breast cancer is the most prevalent and among the most deadly cancers in females. Patien...

Sep 2020 32933515
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