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Subcategories: Genetics

Showing 8443-8463 of 11,255 articles

A Scalable Tool For Analyzing Genomic Variants Of Humans Using Knowledge Graphs and Machine Learning

The integration of knowledge graphs and graph machine learning (GML) in genomic data analysis offe...

Jul 2024 http://arxiv.org/abs/2407.20879v1

BERT and LLMs-Based avGFP Brightness Prediction and Mutation Design

This study aims to utilize Transformer models and large language models (such as GPT and Claude) t...

Jul 2024 http://arxiv.org/abs/2407.20534v1

Multi-modal Imaging Genomics Transformer: Attentive Integration of Imaging with Genomic Biomarkers for Schizophrenia Classification

Schizophrenia (SZ) is a severe brain disorder marked by diverse cognitive impairments, abnormaliti...

Jul 2024 http://arxiv.org/abs/2407.19385v1

Interpreting artificial neural networks to detect genome-wide association signals for complex traits

Investigating the genetic architecture of complex diseases is challenging due to the multifactoria...

Jul 2024 http://arxiv.org/abs/2407.18811v2

Counterions in RNA structure: Structural bioinformatics analysis to identify the role of Mg2+ ions in base pair formation

Contribution of metal ions on nucleic acids structures and functions is undeniable. Among the avai...

Jul 2024 http://arxiv.org/abs/2408.05355v1

BioM2: biologically informed multi-stage machine learning for phenotype prediction using omics data.

Navigating the complex landscape of high-dimensional omics data with machine learning models present...

Jul 2024 39126426

Heterogeneous biomedical entity representation learning for gene-disease association prediction.

Understanding the genetic basis of disease is a fundamental aspect of medical research, as genes are...

Jul 2024 39154194

A genome-scale deep learning model to predict gene expression changes of genetic perturbations from multiplex biological networks.

Systematic characterization of biological effects to genetic perturbation is essential to the applic...

Jul 2024 39226889

Deep learning approaches for non-coding genetic variant effect prediction: current progress and future prospects.

Recent advancements in high-throughput sequencing technologies have significantly enhanced our abili...

Jul 2024 39276327

scHyper: reconstructing cell-cell communication through hypergraph neural networks.

Cell-cell communications is crucial for the regulation of cellular life and the establishment of cel...

Jul 2024 39276328

Designing interpretable deep learning applications for functional genomics: a quantitative analysis.

Deep learning applications have had a profound impact on many scientific fields, including functiona...

Jul 2024 39293804

scGHSOM: Hierarchical clustering and visualization of single-cell and CRISPR data using growing hierarchical SOM

High-dimensional single-cell data poses significant challenges in identifying underlying biologica...

Jul 2024 http://arxiv.org/abs/2407.16984v1

GV-Rep: A Large-Scale Dataset for Genetic Variant Representation Learning

Genetic variants (GVs) are defined as differences in the DNA sequences among individuals and play ...

Jul 2024 http://arxiv.org/abs/2407.16940v2

The Genomic Code: The genome instantiates a generative model of the organism

How does the genome encode the form of the organism? What is the nature of this genomic code? Insp...

Jul 2024 http://arxiv.org/abs/2407.15908v2

U-learning for Prediction Inference via Combinatory Multi-Subsampling: With Applications to LASSO and Neural Networks

Epigenetic aging clocks play a pivotal role in estimating an individual's biological age through t...

Jul 2024 http://arxiv.org/abs/2407.15301v1

The developmental and evolutionary characteristics of transcription factor binding site clustered regions based on an explainable machine learning model.

Gene expression is temporally and spatially regulated by the interaction of transcription factors (T...

Jul 2024 38813828

Transfer learning for cross-context prediction of protein expression from 5'UTR sequence.

Model-guided DNA sequence design can accelerate the reprogramming of living cells. It allows us to e...

Jul 2024 38864396

Reinventing gene expression connectivity through regulatory and spatial structural empowerment via principal node aggregation graph neural network.

The intricacies of the human genome, manifested as a complex network of genes, transcend conventiona...

Jul 2024 38884259

Browse Categories

A Scalable Tool For Analyzing Genomic Variants Of Humans Using Knowledge Graphs and Machine Learning

BERT and LLMs-Based avGFP Brightness Prediction and Mutation Design

Multi-modal Imaging Genomics Transformer: Attentive Integration of Imaging with Genomic Biomarkers for Schizophrenia Classification

Interpreting artificial neural networks to detect genome-wide association signals for complex traits

Counterions in RNA structure: Structural bioinformatics analysis to identify the role of Mg2+ ions in base pair formation

BioM2: biologically informed multi-stage machine learning for phenotype prediction using omics data.

Heterogeneous biomedical entity representation learning for gene-disease association prediction.

A genome-scale deep learning model to predict gene expression changes of genetic perturbations from multiplex biological networks.

Deep learning approaches for non-coding genetic variant effect prediction: current progress and future prospects.

scHyper: reconstructing cell-cell communication through hypergraph neural networks.

Designing interpretable deep learning applications for functional genomics: a quantitative analysis.

scGHSOM: Hierarchical clustering and visualization of single-cell and CRISPR data using growing hierarchical SOM

GV-Rep: A Large-Scale Dataset for Genetic Variant Representation Learning

The Genomic Code: The genome instantiates a generative model of the organism

U-learning for Prediction Inference via Combinatory Multi-Subsampling: With Applications to LASSO and Neural Networks

The developmental and evolutionary characteristics of transcription factor binding site clustered regions based on an explainable machine learning model.

Transfer learning for cross-context prediction of protein expression from 5'UTR sequence.

Reinventing gene expression connectivity through regulatory and spatial structural empowerment via principal node aggregation graph neural network.

Comparative analysis of RNA 3D structure prediction methods: towards enhanced modeling of RNA-ligand interactions.

LSTM Autoencoder-based Deep Neural Networks for Barley Genotype-to-Phenotype Prediction

A Benchmark Dataset for Multimodal Prediction of Enzymatic Function Coupling DNA Sequences and Natural Language

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