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Subcategories: Genetics

Showing 4075-4095 of 10,472 articles

Predicting haplogroups using a versatile machine learning program (PredYMaLe) on a new mutationally balanced 32 Y-STR multiplex (CombYplex): Unlocking the full potential of the human STR mutation rate spectrum to estimate forensic parameters.

We developed a new mutationally well-balanced 32 Y-STR multiplex (CombYplex) together with a machine...

Jun 2020 PMID: 32818722

Use of Chou's 5-steps rule to predict the subcellular localization of gram-negative and gram-positive bacterial proteins by multi-label learning based on gene ontology annotation and profile alignment.

To date, many proteins generated by large-scale genome sequencing projects are still uncharacterized...

Jun 2020 PMID: 32598314

Analysis of high-dimensional genomic data using MapReduce based probabilistic neural network.

BACKGROUND: The size of genomics data has been growing rapidly over the last decade. However, the co...

Jun 2020 PMID: 32650089

Machine learning for genetic prediction of psychiatric disorders: a systematic review.

Machine learning methods have been employed to make predictions in psychiatry from genotypes, with t...

Jun 2020 PMID: 32591634

Denoising DNA Encoded Library Screens with Sparse Learning.

DNA-encoded libraries (DELs) are large, pooled collections of compounds in which every library membe...

Jun 2020 PMID: 32531158

Solo: Doublet Identification in Single-Cell RNA-Seq via Semi-Supervised Deep Learning.

Single-cell RNA sequencing (scRNA-seq) measurements of gene expression enable an unprecedented high-...

Jun 2020 PMID: 32592658

A Generative Neural Network for Maximizing Fitness and Diversity of Synthetic DNA and Protein Sequences.

Engineering gene and protein sequences with defined functional properties is a major goal of synthet...

Jun 2020 PMID: 32711843

Epigenome-based splicing prediction using a recurrent neural network.

Alternative RNA splicing provides an important means to expand metazoan transcriptome diversity. Con...

Jun 2020 PMID: 32584815

Artificial intelligence-based collaborative filtering method with ensemble learning for personalized lung cancer medicine without genetic sequencing.

In personalized medicine, many factors influence the choice of compounds. Hence, the selection of su...

Jun 2020 PMID: 32590103

Browse Categories

Predicting haplogroups using a versatile machine learning program (PredYMaLe) on a new mutationally balanced 32 Y-STR multiplex (CombYplex): Unlocking the full potential of the human STR mutation rate spectrum to estimate forensic parameters.

Use of Chou's 5-steps rule to predict the subcellular localization of gram-negative and gram-positive bacterial proteins by multi-label learning based on gene ontology annotation and profile alignment.

Analysis of high-dimensional genomic data using MapReduce based probabilistic neural network.

Machine learning for genetic prediction of psychiatric disorders: a systematic review.

Denoising DNA Encoded Library Screens with Sparse Learning.

Solo: Doublet Identification in Single-Cell RNA-Seq via Semi-Supervised Deep Learning.

A Generative Neural Network for Maximizing Fitness and Diversity of Synthetic DNA and Protein Sequences.

Epigenome-based splicing prediction using a recurrent neural network.

Artificial intelligence-based collaborative filtering method with ensemble learning for personalized lung cancer medicine without genetic sequencing.

A fully automated deep learning pipeline for high-throughput colony segmentation and classification.

Enhancer recognition and prediction during spermatogenesis based on deep convolutional neural networks.

Integrating spatial gene expression and breast tumour morphology via deep learning.

Hereditary disease prediction in eukaryotic DNA: an adaptive signal processing approach.

Survival prediction for oral tongue cancer patients via probabilistic genetic algorithm optimized neural network models.

A Knowledge-Based Machine Learning Approach to Gene Prioritisation in Amyotrophic Lateral Sclerosis.

Enhanced Integrated Gradients: improving interpretability of deep learning models using splicing codes as a case study.

Ab initio GO-based mining for non-tandem-duplicated functional clusters in three model plant diploid genomes.

Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis.

Deep Learning-Based Detection of Pigment Signs for Analysis and Diagnosis of Retinitis Pigmentosa.

Unsupervised generative and graph representation learning for modelling cell differentiation.

KAML: improving genomic prediction accuracy of complex traits using machine learning determined parameters.

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