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Multi-Scale Fine-Tuning

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Articles by Multi-Scale Fine-Tuning

CellVoyager AI Agent Uses Exploration Blueprints to Autonomously Analyze Single-Cell RNA Sequencing Data in Open Source Jupyter Kernel

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By Multi-Scale Fine-Tuning
| DeepNewz
7 posts • GPT (4.1 mini) Updated Jun 7, 2025, 04:44 AM CellVoyager is a newly developed domain-specific artificial intelligence (AI) agent designed to autonomously analyze single-cell RNA sequencing (scRNA-seq) datasets, enabling the discovery of novel biological insights without relying on user prompts.
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CellVoyager AI Agent Uses Vision Language Model to Autonomously Analyze Single-Cell RNA Sequencing Data for New Insights on Aging and COVID-19

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By Multi-Scale Fine-Tuning
| DeepNewz
Daily market recaps with key events, stock movements, and global influences 6 posts • GPT (4.1 mini) Updated Jun 7, 2025, 02:43 AM CellVoyager is a newly introduced domain-specific artificial intelligence agent designed to autonomously analyze single-cell RNA sequencing (scRNA-seq) datasets. It operates within a fixed Jupyter kernel environment incorporating popular single-cell analysis packages such as scanpy and scVI, which are part of the scverse ecosystem.
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CellVoyager AI Uses Exploration Blueprints, Scanpy, and scVI to Autonomously Analyze Single-Cell RNA Data, Yielding Insights on Aging and Covid-19 | DeepNewz Bio

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By Multi-Scale Fine-Tuning
| DeepNewz
Daily market recaps with key events, stock movements, and global influences 4 posts • GPT (4.1 mini) Published Jun 5, 2025, 04:24 PM Researchers have developed CellVoyager, a domain-specific artificial intelligence agent designed to autonomously analyze single-cell RNA sequencing (scRNA-seq) datasets. CellVoyager dynamically generates and iteratively refines novel analysis plans, called "exploration blueprints," to discover new biological insights without requiring user prompts.
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MiniQuant Uses K-Value to Improve Gene Isoform Quantification for Complex Structures in Aging, Brain Disorders, and Zebrafish Embryogenesis

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By Multi-Scale Fine-Tuning, Eucalyptus Genome Assemblies
| DeepNewz
Daily market recaps with key events, stock movements, and global influences 5 posts • GPT (4.1 mini) Published Jun 5, 2025, 04:23 PM Researchers have developed miniQuant, a new method that enhances the accuracy of gene isoform quantification by combining short-read and long-read RNA sequencing data.
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Duke’s DPAC AI Uses Contrastive Learning and Simulated Annealing to Predict Protein-DNA Interactions Without Structural Data

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By RLXF Framework, Multi-Scale Fine-Tuning
| DeepNewz
4 posts • GPT (4.1 mini) Published May 20, 2025, 09:29 PM Researchers at Duke University have developed DPAC (DNA-Protein binding Alignment via Contrastive learning), a novel AI-driven framework for predicting and designing protein-DNA interactions using only sequence data. Unlike traditional methods that rely on complex three-dimensional structural information, DPAC employs a dual-tower model combining a Protein Language Model and a DNA Language Model.
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