SCTA: An Agentic Framework for Stable and Interpretable Target Gene Discovery from Single-Cell RNA Sequencing | Paper Citation Record

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This paper cites Wilk, and James Zou.

SCTA: An Agentic Framework for Stable and Interpretable Target Gene Discovery from Single-Cell RNA Sequencing Wilk, and James Zou

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This paper cites CellTypeAgent: Trustworthy cell type annotation with Large Language Models.

SCTA: An Agentic Framework for Stable and Interpretable Target Gene Discovery from Single-Cell RNA Sequencing CellTypeAgent: Trustworthy cell type annotation with Large Language Models

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SCTA: An Agentic Framework for Stable and Interpretable Target Gene Discovery from Single-Cell RNA Sequencing MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

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Observation 9b07ae8c-f3a1-4cb1-ab70-2031bda73cb0 · outbound

This paper cites an unresolved cited work.

SCTA: An Agentic Framework for Stable and Interpretable Target Gene Discovery from Single-Cell RNA Sequencing Unresolved cited work

Reference 2008

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Observation c3be0bd2-4225-43cf-bf3f-73bb3169143b · outbound

This paper cites The Journal of pathology237, 1 (2015), 85–97.

SCTA: An Agentic Framework for Stable and Interpretable Target Gene Discovery from Single-Cell RNA Sequencing The Journal of pathology237, 1 (2015), 85–97

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-07-30T11:26:43.540930Z

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Observation 75ccea81-b10c-4b77-a770-3be86f736cc3 · outbound

This paper cites doi:10.1038/s41592-018-0229-2.

SCTA: An Agentic Framework for Stable and Interpretable Target Gene Discovery from Single-Cell RNA Sequencing doi:10.1038/s41592-018-0229-2

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-07-30T11:26:43.425686Z

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Observation ee42d11d-bd30-4db5-9a49-80b4789c4a08 · outbound

This paper cites an unresolved cited work.

SCTA: An Agentic Framework for Stable and Interpretable Target Gene Discovery from Single-Cell RNA Sequencing Unresolved cited work

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-07-30T11:26:43.388960Z

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Observation 417c75a3-1af3-4a5f-9405-b61b2e209227 · outbound

This paper cites GPT-MolBERTa: GPT Molecular Features Language Model for molecular property prediction.

SCTA: An Agentic Framework for Stable and Interpretable Target Gene Discovery from Single-Cell RNA Sequencing GPT-MolBERTa: GPT Molecular Features Language Model for molecular property prediction

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-07-30T11:26:39.128025Z

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Observation 75d00fb0-c2cd-420a-8ffe-cf6088a6d670 · outbound

This paper cites doi:10.1101/2025.06.03.657517.

SCTA: An Agentic Framework for Stable and Interpretable Target Gene Discovery from Single-Cell RNA Sequencing doi:10.1101/2025.06.03.657517

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-07-30T11:26:38.711993Z

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