Genetics

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

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MV-Adapter: Multi-view Consistent Image Generation Made Easy

Existing multi-view image generation methods often make invasive modifications to pre-trained text...

Deep Learning in Single-Cell and Spatial Transcriptomics Data Analysis: Advances and Challenges from a Data Science Perspective

The development of single-cell and spatial transcriptomics has revolutionized our capacity to inve...

Generating Synthetic Genotypes using Diffusion Models

In this paper, we introduce the first diffusion model designed to generate complete synthetic huma...

Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms

The integration of Large Language Models (LLMs) with evolutionary computation (EC) has introduced ...

Single-Cell Omics Arena: A Benchmark Study for Large Language Models on Cell Type Annotation Using Single-Cell Data

Over the past decade, the revolution in single-cell sequencing has enabled the simultaneous molecu...

An Evolutionary Large Language Model for Hallucination Mitigation

The emergence of LLMs, like ChatGPT and Gemini, has marked the modern era of artificial intelligen...

TimeWalker: Personalized Neural Space for Lifelong Head Avatars

We present TimeWalker, a novel framework that models realistic, full-scale 3D head avatars of a pe...

Attacks on multimodal models

Today, models capable of working with various modalities simultaneously in a chat format are gaini...

SUICA: Learning Super-high Dimensional Sparse Implicit Neural Representations for Spatial Transcriptomics

Spatial Transcriptomics (ST) is a method that captures gene expression profiles aligned with spati...

Towards Unified Molecule-Enhanced Pathology Image Representation Learning via Integrating Spatial Transcriptomics

Recent advancements in multimodal pre-training models have significantly advanced computational pa...

Building a Risk Scoring Model for ARDS in Lung Adenocarcinoma Patients Using Machine Learning Algorithms.

Lung adenocarcinoma (LUAD), the predominant form of non-small-cell lung cancer, is frequently compli...

Dec 2024 39656479
[LORENZO'S OIL AND ADRENOLEUKODYSTROPHY EXAMINING AN ARTIFICIAL INTELLIGENCE TOOL INTENDED FOR CONDUCTING LITERATURE SEARCHES AND ANALYSES].

Adrenoleukodystrophy is a genetic metabolic disorder characterized by a heterogeneous phenotype. Its...

Dec 2024 39692366
Explainable Machine Learning Predictions for the Benefit From Chemotherapy in Advanced Non-Small Cell Lung Cancer Without Available Targeted Mutations.

BACKGROUND: Non-small cell lung cancer (NSCLC) is a global health challenge. Chemotherapy remains th...

Dec 2024 39696772
MAFcounter: An efficient tool for counting the occurrences of k-mers in MAF files

Motivation: With the rapid expansion of large-scale biological datasets, DNA and protein sequence ...

DeepRSMA: a cross-fusion-based deep learning method for RNA-small molecule binding affinity prediction.

MOTIVATION: RNA is implicated in numerous aberrant cellular functions and disease progressions, high...

Nov 2024 39540702
Tiberius: end-to-end deep learning with an HMM for gene prediction.

MOTIVATION: For more than 25 years, learning-based eukaryotic gene predictors were driven by hidden ...

Nov 2024 39558581
How chromatin interactions shed light on interpreting non-coding genomic variants: opportunities and future direc-tions

Genomic variants, including copy number variants (CNVs) and genome-wide associa-tion study (GWAS) ...

A novel interpretable deep learning-based computational framework designed synthetic enhancers with broad cross-species activity.

Enhancers play a critical role in dynamically regulating spatial-temporal gene expression and establ...

Nov 2024 39420601
Deep learning revealed the distribution and evolution patterns for invertible promoters across bacterial lineages.

Invertible promoters (invertons) are crucial regulatory elements in bacteria, facilitating gene expr...

Nov 2024 39460615
HiCat: A Semi-Supervised Approach for Cell Type Annotation

We introduce HiCat (Hybrid Cell Annotation using Transformative embeddings), a novel semi-supervis...

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