Results on Dataset-1.

<div><p>Early and accurate cancer detection is crucial for effective treatment, prognosis, and the advancement of precision medicine. Analyzing omics data is vital in cancer research. While using a single type of omics data provides a limited perspective, integrating multiple omics modal...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Ma Yinghua (22446698) (author)
مؤلفون آخرون:	Ahmad Khan (6067526) (author), Yang Heng (10181637) (author), Fiaz Gul Khan (22446701) (author), Afnan Aldhahri (22446704) (author), Iftikhar Ahmed Khan (5679773) (author)
منشور في:	2025
الموضوعات:	Pharmacology Science Policy Biological Sciences not elsewhere classified xlink "> early preserving global information triplet margin loss composite loss function proposed model combines omics data provides omics data integration downstream classification tasks analyzing omics data preventing information loss enhance precision medicine end contrastive manner accurate cancer detection contrastive adversarial encoder omics data information loss adversarial loss precision medicine model achieved classification accuracy weighted combination vision transformer utilizing self single type results show paper proposes often results limited perspective latent space findings demonstrate feature redundancy f1 score eliminating redundancy effective treatment comprehensive understanding class classifications cancer research
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Results on Dataset-1.

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