Genetics

Modeling of aquifer vulnerability index using deep learning neural networks coupling with optimization algorithms.

A reliable assessment of the aquifer contamination vulnerability is essential for the conservation a...

ILDMSF: Inferring Associations Between Long Non-Coding RNA and Disease Based on Multi-Similarity Fusion.

The dysregulation and mutation of long non-coding RNAs (lncRNAs) have been proved to result in a var...

MILAMP: Multiple Instance Prediction of Amyloid Proteins.

Amyloid proteins are implicated in several diseases such as Parkinson's, Alzheimer's, prion diseases...

Identifying genomic islands with deep neural networks.

BACKGROUND: Horizontal gene transfer is the main source of adaptability for bacteria, through which ...

FTIR spectroscopy with machine learning: A new approach to animal DNA polymorphism screening.

Technological advances in recent decades, especially in molecular genetics, have enabled the detecti...

Ultrasensitive biosensing platform based on luminescence quenching ability of fullerenol quantum dots.

An ultrasensitive biosensing platform for DNA and ochratoxin A (OTA) detection is constructed based ...

A sequence-based multiple kernel model for identifying DNA-binding proteins.

BACKGROUND: DNA-Binding Proteins (DBP) plays a pivotal role in biological system. A mounting number ...

EDLmAPred: ensemble deep learning approach for mRNA mA site prediction.

BACKGROUND: As a common and abundant RNA methylation modification, N6-methyladenosine (mA) is widely...

i4mC-EL: Identifying DNA N4-Methylcytosine Sites in the Mouse Genome Using Ensemble Learning.

As one of important epigenetic modifications, DNA N4-methylcytosine (4mC) plays a crucial role in co...

Enhancing CRISPR-Cas9 gRNA efficiency prediction by data integration and deep learning.

The design of CRISPR gRNAs requires accurate on-target efficiency predictions, which demand high-qua...

Application of artificial intelligence for detection of chemico-biological interactions associated with oxidative stress and DNA damage.

In recent years, various AI-based methods have been developed in order to uncover chemico-biological...

Data-driven approaches to advance research and clinical care for pediatric cancer.

Pediatric cancer is a rare disease with a distinct etiology and mutational landscape compared with a...

RNA Backbone Torsion and Pseudotorsion Angle Prediction Using Dilated Convolutional Neural Networks.

RNA three-dimensional structure prediction has been relied on using a predicted or experimentally de...

A joint deep learning model enables simultaneous batch effect correction, denoising, and clustering in single-cell transcriptomics.

Recent developments of single-cell RNA-seq (scRNA-seq) technologies have led to enormous biological ...

Translational Applications of Artificial Intelligence and Machine Learning for Diagnostic Pathology in Lymphoid Neoplasms: A Comprehensive and Evolutive Analysis.

Genomic analysis and digitalization of medical records have led to a big data scenario within hemato...

Artificial intelligence for diagnosis of inherited retinal disease: an exciting opportunity and one step forward.

COVID-19 diagnosis by routine blood tests using machine learning.

Physicians taking care of patients with COVID-19 have described different changes in routine blood p...

DeepDISE: DNA Binding Site Prediction Using a Deep Learning Method.

It is essential for future research to develop a new, reliable prediction method of DNA binding site...

DeepD2V: A Novel Deep Learning-Based Framework for Predicting Transcription Factor Binding Sites from Combined DNA Sequence.

Predicting in vivo protein-DNA binding sites is a challenging but pressing task in a variety of fiel...

Application of multi-omics data integration and machine learning approaches to identify epigenetic and transcriptomic differences between in vitro and in vivo produced bovine embryos.

Pregnancy rates for in vitro produced (IVP) embryos are usually lower than for embryos produced in v...

Benchmarking deep learning splice prediction tools using functional splice assays.

Hereditary disorders are frequently caused by genetic variants that affect pre-messenger RNA splicin...