Genetics

Deep learning-based integration of genetics with registry data for stratification of schizophrenia and depression.

Currently, psychiatric diagnoses are, in contrast to most other medical fields, based on subjective ...

DeepPN: a deep parallel neural network based on convolutional neural network and graph convolutional network for predicting RNA-protein binding sites.

BACKGROUND: Addressing the laborious nature of traditional biological experiments by using an effici...

Hyb4mC: a hybrid DNA2vec-based model for DNA N4-methylcytosine sites prediction.

BACKGROUND: DNA N4-methylcytosine is part of the restrictive modification system, which works by reg...

Development and Application of Two Inducible Expression Systems for Streptococcus suis.

Streptococcus suis is an important zoonotic bacterial pathogen posing a threat to the pig industry a...

Deep Learning and Structure-Based Virtual Screening for Drug Discovery against NEK7: A Novel Target for the Treatment of Cancer.

NIMA-related kinase7 (NEK7) plays a multifunctional role in cell division and NLRP3 inflammasone act...

A new deep learning technique reveals the exclusive functional contributions of individual cancer mutations.

Cancers are caused by genomic alterations that may be inherited, induced by environmental carcinogen...

Genomics enters the deep learning era.

The tremendous amount of biological sequence data available, combined with the recent methodological...

Clinical actionability of triaging DNA mismatch repair deficient colorectal cancer from biopsy samples using deep learning.

BACKGROUND: We aimed to develop a deep learning (DL) model to predict DNA mismatch repair (MMR) stat...

Interpretable pairwise distillations for generative protein sequence models.

Many different types of generative models for protein sequences have been proposed in literature. Th...

Latent space of a small genetic network: Geometry of dynamics and information.

The high-dimensional character of most biological systems presents genuine challenges for modeling a...

A Robust Deep Neural Network for Rolling Element Fault Diagnosis under Various Operating and Noisy Conditions.

This study proposes a new intelligent diagnostic method for bearing faults in rotating machinery. Th...

Boosted Sine Cosine Algorithm with Application to Medical Diagnosis.

The sine cosine algorithm (SCA) was proposed for solving optimization tasks, of which the way to obt...

Codon Optimization Using a Recurrent Neural Network.

Codon optimization of a DNA sequence can significantly increase efficiency of protein expression, re...

DeepRF: A deep learning method for predicting metabolic pathways in organisms based on annotated genomes.

The rapid increase of metabolomics has led to an increasing focus on metabolic pathway modeling and ...

High-speed identification system for fresh tea leaves based on phenotypic characteristics utilizing an improved genetic algorithm.

BACKGROUND: High-quality tea requires leaves of similar size and tenderness. The grade of the fresh ...

Letter re: Integration of deep learning-based image analysis and genomic data in cancer pathology: A systematic review: Label-free diagnostic technique to differentiate cancer cells from healthy cells.

Systems Drug Discovery for Diffuse Large B Cell Lymphoma Based on Pathogenic Molecular Mechanism via Big Data Mining and Deep Learning Method.

Diffuse large B cell lymphoma (DLBCL) is an aggressive heterogeneous disease. The most common subtyp...

Improved Analysis of COVID-19 Influenced Pneumonia from the Chest X-Rays Using Fine-Tuned Residual Networks.

COVID-19 has remained a threat to world life despite a recent reduction in cases. There is still a p...

Machine Learning Guided Batched Design of a Bacterial Ribosome Binding Site.

Optimization of gene expression levels is an essential part of the organism design process. Fine con...

Artificial intelligence and machine learning in precision and genomic medicine.

The advancement of precision medicine in medical care has led behind the conventional symptom-driven...

Polishing copy number variant calls on exome sequencing data via deep learning.

Accurate and efficient detection of copy number variants (CNVs) is of critical importance owing to t...