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Subcategories: Genetics

Showing 3445-3465 of 11,104 articles

Self-supervised Learning for DNA sequences with circular dilated convolutional networks.

DNA molecules commonly exhibit wide interactions between the nucleobases. Modeling the interactions ...

Dec 2023 38150872

m5UMCB: Prediction of RNA 5-methyluridine sites using multi-scale convolutional neural network with BiLSTM.

As a prevalent RNA modification, 5-methyluridine (mU) plays a critical role in diverse biological pr...

Dec 2023 38048661

Learning massive interpretable gene regulatory networks of the human brain by merging Bayesian networks.

We present the Fast Greedy Equivalence Search (FGES)-Merge, a new method for learning the structure ...

Dec 2023 38039337

Strengthening the Diagnosis of Drug-Resistant Tuberculosis Using NGS-Based Approaches and Bioinformatics Pipelines for Data Analysis in India.

In India, drug-resistant tuberculosis (DR-TB) is a major public health issue and a significant chall...

Nov 2023 39011006

Reconstructing growth and dynamic trajectories from single-cell transcriptomics data.

Time-series single-cell RNA sequencing (scRNA-seq) datasets provide unprecedented opportunities to l...

Nov 2023 38274364

Stauntonia chinensis injection relieves neuropathic pain by increasing the expression of PSD-95 and reducing the proliferation of phagocytic microglia.

Neuroinflammation induced by engulfment of synapses by phagocytic microglia plays a crucial role in ...

Nov 2023 38682013

Geometric Graph Learning to Predict Changes in Binding Free Energy and Protein Thermodynamic Stability upon Mutation.

Accurate prediction of binding free energy changes upon mutations is vital for optimizing drugs, des...

Nov 2023 38032742

Frame-Level Teacher-Student Learning With Data Privacy for EEG Emotion Recognition.

Recently, electroencephalogram (EEG) emotion recognition has gradually attracted a lot of attention....

Nov 2023 35486553

Benchmarking of deep neural networks for predicting personal gene expression from DNA sequence highlights shortcomings.

Deep learning methods have recently become the state of the art in a variety of regulatory genomic t...

Nov 2023 38036778

Personal transcriptome variation is poorly explained by current genomic deep learning models.

Genomic deep learning models can predict genome-wide epigenetic features and gene expression levels ...

Nov 2023 38036790

Crisis averted: a world united against the menace of multiple drug-resistant superbugs -pioneering anti-AMR vaccines, RNA interference, nanomedicine, CRISPR-based antimicrobials, bacteriophage therapies, and clinical artificial intelligence strategies to safeguard global antimicrobial arsenal.

The efficacy of antibiotics and other antimicrobial agents in combating bacterial infections faces a...

Nov 2023 38098671

Identifying unique exposure-specific transgenerational differentially DNA methylated region epimutations in the genome using hybrid deep learning prediction models.

Exposure to environmental toxicants can lead to epimutations in the genome and an increase in differ...

Nov 2023 38130880

Circulating tumor DNA for monitoring classic Hodgkin lymphoma patients: Correlation with FDG-PET/CT.

The value of circulating tumor DNA (ctDNA) as a biomarker of disease activity in classic Hodgkin lym...

Nov 2023 38406538

Identifying Explainable Machine Learning Models and a Novel SFRP2 Fibroblast Signature as Predictors for Precision Medicine in Ovarian Cancer.

Ovarian cancer (OC) is a type of malignant tumor with a consistently high mortality rate. The diagno...

Nov 2023 38069266

Quantitative Modeling of Stemness in Single-Cell RNA Sequencing Data: A Nonlinear One-Class Support Vector Machine Method.

Intratumoral heterogeneity and the presence of cancer stem cells are challenging issues in cancer th...

Nov 2023 38010500

Label-free identification of protein aggregates using deep learning.

Protein misfolding and aggregation play central roles in the pathogenesis of various neurodegenerati...

Nov 2023 38016971

Deep-qGFP: A Generalist Deep Learning Assisted Pipeline for Accurate Quantification of Green Fluorescent Protein Labeled Biological Samples in Microreactors.

Absolute quantification of biological samples provides precise numerical expression levels, enhancin...

Nov 2023 38010980

XGraphCDS: An explainable deep learning model for predicting drug sensitivity from gene pathways and chemical structures.

Cancer is a highly complex disease characterized by genetic and phenotypic heterogeneity among indiv...

Nov 2023 38039896

Browse Categories

Self-supervised Learning for DNA sequences with circular dilated convolutional networks.

m5UMCB: Prediction of RNA 5-methyluridine sites using multi-scale convolutional neural network with BiLSTM.

Learning massive interpretable gene regulatory networks of the human brain by merging Bayesian networks.

Strengthening the Diagnosis of Drug-Resistant Tuberculosis Using NGS-Based Approaches and Bioinformatics Pipelines for Data Analysis in India.

Reconstructing growth and dynamic trajectories from single-cell transcriptomics data.

Stauntonia chinensis injection relieves neuropathic pain by increasing the expression of PSD-95 and reducing the proliferation of phagocytic microglia.

Geometric Graph Learning to Predict Changes in Binding Free Energy and Protein Thermodynamic Stability upon Mutation.

Frame-Level Teacher-Student Learning With Data Privacy for EEG Emotion Recognition.

Benchmarking of deep neural networks for predicting personal gene expression from DNA sequence highlights shortcomings.

Personal transcriptome variation is poorly explained by current genomic deep learning models.

Crisis averted: a world united against the menace of multiple drug-resistant superbugs -pioneering anti-AMR vaccines, RNA interference, nanomedicine, CRISPR-based antimicrobials, bacteriophage therapies, and clinical artificial intelligence strategies to safeguard global antimicrobial arsenal.

Identifying unique exposure-specific transgenerational differentially DNA methylated region epimutations in the genome using hybrid deep learning prediction models.

Circulating tumor DNA for monitoring classic Hodgkin lymphoma patients: Correlation with FDG-PET/CT.

Identifying Explainable Machine Learning Models and a Novel SFRP2 Fibroblast Signature as Predictors for Precision Medicine in Ovarian Cancer.

Quantitative Modeling of Stemness in Single-Cell RNA Sequencing Data: A Nonlinear One-Class Support Vector Machine Method.

Label-free identification of protein aggregates using deep learning.

Deep-qGFP: A Generalist Deep Learning Assisted Pipeline for Accurate Quantification of Green Fluorescent Protein Labeled Biological Samples in Microreactors.

XGraphCDS: An explainable deep learning model for predicting drug sensitivity from gene pathways and chemical structures.

What are the most relevant publications in Clinical Microbiology in the last two years?

CREaTor: zero-shot cis-regulatory pattern modeling with attention mechanisms.

Waterborne pathogens detection technologies: advances, challenges, and future perspectives.

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