Genetics

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

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Prior Knowledge Injection into Deep Learning Models Predicting Gene Expression from Whole Slide Images

Cancer diagnosis and prognosis primarily depend on clinical parameters such as age and tumor grade...

LiT: Delving into a Simplified Linear Diffusion Transformer for Image Generation

In commonly used sub-quadratic complexity modules, linear attention benefits from simplicity and h...

Unified CNNs and transformers underlying learning mechanism reveals multi-head attention modus vivendi

Convolutional neural networks (CNNs) evaluate short-range correlations in input images which progr...

Mutation-Guided LLM-based Test Generation at Meta

This paper describes Meta's ACH system for mutation-guided LLM-based test generation. ACH generate...

WinPCA: A package for windowed principal component analysis

Principal component analysis (PCA) is routinely used in population genetics to assess genetic stru...

Hypergraph Representations of scRNA-seq Data for Improved Clustering with Random Walks

Analysis of single-cell RNA sequencing data is often conducted through network projections such as...

Training-free Ultra Small Model for Universal Sparse Reconstruction in Compressed Sensing

Pre-trained large models attract widespread attention in recent years, but they face challenges in...

Image Classification Method using Dynamic Quantum Inspired Genetic Algorithm

This study presents a dynamic Quantum-Inspired Genetic Algorithm (D-QIGA) for feature selection, l...

Predicting Diabetic Retinopathy Using a Machine Learning Approach Informed by Whole-Exome Sequencing Studies.

OBJECTIVE: To establish and validate a novel diabetic retinopathy (DR) risk-prediction model using a...

Jan 2025 39924156
ScaMaha: A Tool for Parsing, Analyzing, and Visualizing Object-Oriented Software Systems

Reverse engineering tools are required to handle the complexity of software products and the uniqu...

AI-Driven Hybrid Ecological Model for Predicting Oncolytic Viral Therapy Dynamics

Oncolytic viral therapy (OVT) is an emerging precision therapy for aggressive and recurrent cancer...

Interpretable Droplet Digital PCR Assay for Trustworthy Molecular Diagnostics

Accurate molecular quantification is essential for advancing research and diagnostics in fields su...

Neuroblastoma: nutritional strategies as supportive care in pediatric oncology

Neuroblastoma, is a highly heterogeneous pediatric tumour and is responsible for 15% of pediatric ...

Beyond the hype: using AI, big data, wearable devices, and the internet of things for high-throughput livestock phenotyping.

Phenotyping of animals is a routine task in agriculture which can provide large datasets for the fun...

Jan 2025 39158344
DeepMEns: an ensemble model for predicting sgRNA on-target activity based on multiple features.

The CRISPR/Cas9 system developed from Streptococcus pyogenes (SpCas9) has high potential in gene edi...

Jan 2025 39528429
SCREEN: A Graph-based Contrastive Learning Tool to Infer Catalytic Residues and Assess Enzyme Mutations.

The accurate identification of catalytic residues contributes to our understanding of enzyme functio...

Jan 2025 39724324
FramePainter: Endowing Interactive Image Editing with Video Diffusion Priors

Interactive image editing allows users to modify images through visual interaction operations such...

Multi-megabase scale genome interpretation with genetic language models

Understanding how molecular changes caused by genetic variation drive disease risk is crucial for ...

AlgoRxplorers | Precision in Mutation: Enhancing Drug Design with Advanced Protein Stability Prediction Tools

Predicting the impact of single-point amino acid mutations on protein stability is essential for u...

High throughput variant libraries and machine learning yield design rules for retron gene editors.

The bacterial retron reverse transcriptase system has served as an intracellular factory for single-...

Jan 2025 39658047
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