Genetics

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

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Nucleic Acid Quantification by Multi-Frequency Impedance Cytometry and Machine Learning.

Determining nucleic acid concentrations in a sample is an important step prior to proceeding with do...

Evaluating native-like structures of RNA-protein complexes through the deep learning method.

RNA-protein complexes underlie numerous cellular processes, including basic translation and gene reg...

Uncovering the complex genetic architecture of human plasma lipidome using machine learning methods.

Genetic architecture of plasma lipidome provides insights into regulation of lipid metabolism and re...

Classifying aneuploidy in genotype intensity data using deep learning.

Aneuploidy is the loss or gain of one or more chromosomes. Although it is a rare phenomenon in liveb...

siVAE: interpretable deep generative models for single-cell transcriptomes.

Neural networks such as variational autoencoders (VAE) perform dimensionality reduction for the visu...

Predicting gene mutation status via artificial intelligence technologies based on multimodal integration (MMI) to advance precision oncology.

Personalized treatment strategies for cancer frequently rely on the detection of genetic alterations...

RNA independent fragment partition method based on deep learning for RNA secondary structure prediction.

The non-coding RNA secondary structure largely determines its function. Hence, accuracy in structure...

Single-cell RNA-seq data analysis based on directed graph neural network.

Single-cell RNA sequencing (scRNA-seq) data scale surges with high-throughput sequencing technology ...

An Optimized Ensemble Deep Learning Model for Predicting Plant miRNA-IncRNA Based on Artificial Gorilla Troops Algorithm.

MicroRNAs (miRNA) are small, non-coding regulatory molecules whose effective alteration might result...

Deep reinforcement learning-based pairwise DNA sequence alignment method compatible with embedded edge devices.

Sequence alignment is an essential component of bioinformatics, for identifying regions of similarit...

A multimodal deep learning model to infer cell-type-specific functional gene networks.

BACKGROUND: Functional gene networks (FGNs) capture functional relationships among genes that vary a...

Accelerated Aging in LMNA Mutations Detected by Artificial Intelligence ECG-Derived Age.

OBJECTIVE: To demonstrate early aging in patients with lamin A/C (LMNA) gene mutations after hypothe...

A deep learning approach reveals unexplored landscape of viral expression in cancer.

About 15% of human cancer cases are attributed to viral infections. To date, virus expression in tum...

LSTM-DGWO-Based Sentiment Analysis Framework for Analyzing Online Customer Reviews.

Sentiment analysis furnishes consumer concerns regarding products, enabling product enhancement deve...

MGREL: A multi-graph representation learning-based ensemble learning method for gene-disease association prediction.

The identification of gene-disease associations plays an important role in the exploration of pathog...

Deep learning-based multifeature integration robustly predicts central lymph node metastasis in papillary thyroid cancer.

BACKGROUND: Few highly accurate tests can diagnose central lymph node metastasis (CLNM) of papillary...

Identifying congenital generalized lipodystrophy using deep learning-DEEPLIPO.

Congenital Generalized Lipodystrophy (CGL) is a rare autosomal recessive disease characterized by ne...

Enabling technology and core theory of synthetic biology.

Synthetic biology provides a new paradigm for life science research ("build to learn") and opens the...

Machine Learning Informs RNA-Binding Chemical Space.

Small molecule targeting of RNA has emerged as a new frontier in medicinal chemistry, but compared t...

An Efficient Feature Selection Algorithm for Gene Families Using NMF and ReliefF.

Gene families, which are parts of a genome's information storage hierarchy, play a significant role ...

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