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Deep learning for predicting disease status using genomic data

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#Deeplearning for predicting disease status using genomic data #Genomics #PrecisionMedicine #Artificialintelligence #Healthcare https://t.co/zz7i9aDiKI
281 days ago
Deep learning for predicting disease status using genomic data https://t.co/MhbRnjRBVl
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Additional Information

Competing Interests

The authors declare that they have no competing interests.

Author Contributions

Qianfan Wu performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables, authored or reviewed drafts of the paper, approved the final draft.

Adel Boueiz conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables, authored or reviewed drafts of the paper, approved the final draft.

Alican Bozkurt contributed reagents/materials/analysis tools, prepared figures and/or tables, authored or reviewed drafts of the paper, approved the final draft.

Arya Masoomi contributed reagents/materials/analysis tools, prepared figures and/or tables, authored or reviewed drafts of the paper, approved the final draft.

Allan Wang authored or reviewed drafts of the paper, approved the final draft.

Dawn L DeMeo authored or reviewed drafts of the paper, approved the final draft.

Scott T Weiss conceived and designed the experiments, authored or reviewed drafts of the paper, approved the final draft.

Weiliang Qiu conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables, authored or reviewed drafts of the paper, approved the final draft.

Data Deposition

The following information was supplied regarding data availability:

The manuscript is a review paper.

Funding

The authors received no funding for this work.


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