Genetics

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

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Do We Really Need Curated Malicious Data for Safety Alignment in Multi-modal Large Language Models?

Multi-modal large language models (MLLMs) have made significant progress, yet their safety alignme...

On the representation of stack operators by mathematical morphology

This paper introduces the class of grey-scale image stack operators as those that (a) map binary-i...

smFISH_batchRun: A smFISH image processing tool for single-molecule RNA Detection and 3D reconstruction

Single-molecule RNA imaging has been made possible with the recent advances in microscopy methods....

Multimodal 3D Genome Pre-training

Deep learning techniques have driven significant progress in various analytical tasks within 3D ge...

Ozaki Scheme II: A GEMM-oriented emulation of floating-point matrix multiplication using an integer modular technique

This paper addresses emulation algorithms for matrix multiplication. General Matrix-Matrix Multipl...

Convergence-divergence models: Generalizations of phylogenetic trees modeling gene flow over time

Phylogenetic trees are simple models of evolutionary processes. They describe conditionally indepe...

Analysis of RNA translation with a deep learning architecture provides new insight into translation control.

Accurate annotation of coding regions in RNAs is essential for understanding gene translation. We de...

Apr 2025 40219965
Deciphering the biosynthetic potential of microbial genomes using a BGC language processing neural network model.

Biosynthetic gene clusters (BGCs), key in synthesizing microbial secondary metabolites, are mostly h...

Apr 2025 40226917
CiMBA: Accelerating Genome Sequencing through On-Device Basecalling via Compute-in-Memory

As genome sequencing is finding utility in a wide variety of domains beyond the confines of tradit...

Enhancing Downstream Analysis in Genome Sequencing: Species Classification While Basecalling

The ability to quickly and accurately identify microbial species in a sample, known as metagenomic...

DeepGDel: Deep Learning-based Gene Deletion Prediction Framework for Growth-Coupled Production in Genome-Scale Metabolic Models

In genome-scale constraint-based metabolic models, gene deletion strategies are crucial for achiev...

On the Dynamics of Mating Preferences in Genetic Programming

Several mating restriction techniques have been implemented in Evolutionary Algorithms to promote ...

ViralQC: A Tool for Assessing Completeness and Contamination of Predicted Viral Contigs

Motivation: Viruses represent the most abundant biological entities on the planet and play vital r...

Predicting Survivability of Cancer Patients with Metastatic Patterns Using Explainable AI

Cancer remains a leading global health challenge and a major cause of mortality. This study levera...

A Novel Approach to Linking Histology Images with DNA Methylation

DNA methylation is an epigenetic mechanism that regulates gene expression by adding methyl groups ...

SAM2MOT: A Novel Paradigm of Multi-Object Tracking by Segmentation

Segment Anything 2 (SAM2) enables robust single-object tracking using segmentation. To extend this...

Investigating and Mitigating Stereotype-aware Unfairness in LLM-based Recommendations

Large Language Models (LLMs) have demonstrated unprecedented language understanding and reasoning ...

UCS: A Universal Model for Curvilinear Structure Segmentation

Curvilinear structure segmentation (CSS) is vital in various domains, including medical imaging, l...

Multiscale Modeling Primer: Focus on Chromatin and Epigenetics

Essential life processes take place across multiple space and time scales in living organisms but ...

Malware Detection in Docker Containers: An Image is Worth a Thousand Logs

Malware detection is increasingly challenged by evolving techniques like obfuscation and polymorph...

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