Author

Milad Mostav

The University of Texas at San Antonio Health Science Center

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1

Frequent Co-Authors

Yidong CheniD· 1 shared Yu‐Chiao ChiuiD· 1 shared Yufei HuangiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Yidong ChenORCID

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1 paper

Recent·Most cited

CancerSiamese: one-shot learning for predicting primary and metastatic tumor types unseen during model training

Milad Mostav, Yu‐Chiao Chiu, Yidong Chen, Yufei Huang

CancerSiamese improves cancer type prediction using one-shot learning with gene expression data, achieving 8% and 4% accuracy gains over 1-NN for primary and metastatic tumors.

bioRxiv · Sep 7, 2020 · PreprintBioinformatics