Genetics

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

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Discovery of Novel Biomarkers with Extended Non-Coding RNA Interactor Networks from Genetic and Protein Biomarkers.

Curated online interaction databases and gene ontology tools have streamlined the analysis of highly...

Sep 2024 39337694
From Biosensors to Robotics: Pioneering Advances in Breast Cancer Management.

Breast cancer stands as the most prevalent form of cancer amongst females, constituting more than on...

(2)
Sep 2024 39338894
Machine learning based predictive analysis of DNA cleavage induced by diverse nanomaterials.

DNA cleavage by nanomaterials has the potential to be utilized as an innovative tool for gene editin...

(1)
Sep 2024 39304674
Predicting DNA Reactions with a Quantum Chemistry-Based Deep Learning Model.

In this study, a deep learning model based on quantum chemistry is introduced to enhance the accurac...

Sep 2024 39297371
Breast Tumor Diagnosis Based on Molecular Learning Vector Quantization Neural Networks.

DNA nanotechnology plays a crucial role in precise cancer medicine. Currently, molecular logic circu...

Sep 2024 39290197
Multi-omics features of immunogenic cell death in gastric cancer identified by combining single-cell sequencing analysis and machine learning.

Gastric cancer (GC) is a prevalent malignancy with high mortality rates. Immunogenic cell death (ICD...

(4)
Sep 2024 39294296
Interpreting cis-regulatory interactions from large-scale deep neural networks.

The rise of large-scale, sequence-based deep neural networks (DNNs) for predicting gene expression h...

Sep 2024 39284975
Salivary detection of Chikungunya virus infection using a portable and sustainable biophotonic platform coupled with artificial intelligence algorithms.

The current detection method for Chikungunya Virus (CHIKV) involves an invasive and costly molecular...

Sep 2024 39278957
The application value of support vector machine model based on multimodal MRI in predicting IDH-1mutation and Ki-67 expression in glioma.

PURPOSE: To investigate the application value of support vector machine (SVM) model based on diffusi...

(1)
Sep 2024 39285364
Splam: a deep-learning-based splice site predictor that improves spliced alignments.

The process of splicing messenger RNA to remove introns plays a central role in creating genes and g...

(1)
Sep 2024 39285451
Deep Learning-Based Blood Abnormalities Detection as a Tool for VEXAS Syndrome Screening.

INTRODUCTION: VEXAS is a syndrome described in 2020, caused by mutations of the UBA1 gene, and displ...

Sep 2024 39275905
RNAfcg: RNA Flexibility Prediction Based on Topological Centrality and Global Features.

The dynamics of RNAs are related intimately to their functions. Molecular flexibility, as a starting...

(2)
Sep 2024 39276067
Machine learning reveals the transcriptional regulatory network and circadian dynamics of PCC 7942.

is an important cyanobacterium that serves as a versatile and robust model for studying circadian b...

(2)
Sep 2024 39269777
Construction of a molecular diagnostic system for neurogenic rosacea by combining transcriptome sequencing and machine learning.

Patients with neurogenic rosacea (NR) frequently demonstrate pronounced neurological manifestations,...

(1)
Sep 2024 39272052
Machine-Learning Analysis of Streptomyces coelicolor Transcriptomes Reveals a Transcription Regulatory Network Encompassing Biosynthetic Gene Clusters.

Streptomyces produces diverse secondary metabolites of biopharmaceutical importance, yet the rate of...

Sep 2024 39264300
A Machine Learning Method for RNA-Small Molecule Binding Preference Prediction.

The interaction between RNA and small molecules is crucial in various biological functions. Identify...

(1)
Sep 2024 39265103
Developing a Machine Learning 'Smart' Polymerase Chain Reaction Thermocycler Part 2: Putting the Theoretical Framework into Practice.

The introduction of PCR into forensic science and the rapid increases in the sensitivity, specificit...

(2)
Sep 2024 39336790
Comparison and benchmark of deep learning methods for non-coding RNA classification.

The involvement of non-coding RNAs in biological processes and diseases has made the exploration of ...

(3)
Sep 2024 39264986
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