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Research on Cold and Hot Properties of Traditional Chinese Medicine at the Molecular Level Based on Machine Learning

https://doi.org/10.2139/ssrn.4097411
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35/35 checkable references clean · checked 2026-07-22

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

23 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 35 checked references that resolve
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A Deep Learning Approach to Antibiotic Discovery
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Exploring the mechanism of TCM formulae in the treatment of different types of coronary heart disease by network pharmacology and machining learning
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Machine learning enables discovery of Gentianine targeting TLR4/NF-κB pathway to repair ischemic stroke injury
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Toward Understanding the Cold, Hot, and Neutral Nature of Chinese Medicines Using in Silico Mode-of-Action Analysis
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What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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