Genetics

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

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iPiDA-sHN: Identification of Piwi-interacting RNA-disease associations by selecting high quality negative samples.

As a large group of small non-coding RNAs (ncRNAs), Piwi-interacting RNAs (piRNAs) have been detecte...

Relation of vitamin D and BsmI variant with temporomandibular diseases in the Turkish population.

Vitamin D (VD) levels and several variants in the vitamin D receptor (VDR) gene are associated with ...

Fully-Connected Neural Networks with Reduced Parameterization for Predicting Histological Types of Lung Cancer from Somatic Mutations.

Several challenges appear in the application of deep learning to genomic data. First, the dimensiona...

Machine learning based refined differential gene expression analysis of pediatric sepsis.

BACKGROUND: Differential expression (DE) analysis of transcriptomic data enables genome-wide analysi...

A machine learning approach to optimizing cell-free DNA sequencing panels: with an application to prostate cancer.

BACKGROUND: Cell-free DNA's (cfDNA) use as a biomarker in cancer is challenging due to genetic heter...

Progressive Multiple Sclerosis Transcriptome Deconvolution Indicates Increased M2 Macrophages in Inactive Lesions.

Accumulating evidence suggests M2 macrophages contribute to tissue reparation and limit inflammation...

ncRDeep: Non-coding RNA classification with convolutional neural network.

A non-coding RNA (ncRNA) is a kind of RNA that is not converted into protein, however, it is involve...

Insights into the Kinetic Partitioning Folding Dynamics of the Human Telomeric G-Quadruplex from Molecular Simulations and Machine Learning.

The human telomeric DNA G-quadruplex follows a kinetic partitioning folding mechanism. The underlyin...

A Genome-Based Model to Predict the Virulence of Pseudomonas aeruginosa Isolates.

Variation in the genome of , an important pathogen, can have dramatic impacts on the bacterium's abi...

Biomarkers of the Response to Immune Checkpoint Inhibitors in Metastatic Urothelial Carcinoma.

The mechanisms underlying the resistance to immune checkpoint inhibitors (ICIs) therapy in metastati...

Assessment of and polymorphisms in age-related macular degeneration using classic and machine-learning approaches.

BACKGROUND: and are pivotal genes driving increased risk for age-related macular degeneration (AMD...

A Comparative Study of Supervised Machine Learning Algorithms for the Prediction of Long-Range Chromatin Interactions.

The role of three-dimensional genome organization as a critical regulator of gene expression has bec...

Calculation of immune cell proportion from batch tumor gene expression profile based on support vector regression.

In addition to tumor cells, a large number of immune cells are found in the tumor microenvironment (...

Machine learning for RNA sequencing-based intrinsic subtyping of breast cancer.

Stratification of breast cancer (BC) into molecular subtypes by multigene expression assays is of de...

Detecting Interactive Gene Groups for Single-Cell RNA-Seq Data Based on Co-Expression Network Analysis and Subgraph Learning.

High-throughput sequencing technologies have enabled the generation of single-cell RNA-seq (scRNA-se...

GeFeS: A generalized wrapper feature selection approach for optimizing classification performance.

In this paper, we propose a generalized wrapper-based feature selection, called GeFeS, which is base...

Establishment and Analysis of a Combined Diagnostic Model of Polycystic Ovary Syndrome with Random Forest and Artificial Neural Network.

Polycystic ovary syndrome (PCOS) is one of the most common metabolic and reproductive endocrinopathi...

Discriminating between sleep and exercise-induced fatigue using computer vision and behavioral genetics.

Following prolonged swimming, cycle between active swimming bouts and inactive quiescent bouts. Swi...

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