Author

Qingyuan Song

Dartmouth CollegeORCID 0000-0001-6406-9080Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Qingyuan Song2 papers · Vanderbilt University

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1

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Alan R. Schned· 1 shared John D. SeigneiD· 1 shared Karl T. KelseyiD· 1 shared Margaret Rita KaragasiD· 1 shared Saeed HassanpouriD· 1 shared

Activity by Year

2019-2019 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Alan R. Schned

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintDec 4, 2019

A Machine Learning Approach for Long-Term Prognosis of Bladder Cancer based on Clinical and Molecular Features

Qingyuan Song, John D. Seigne, Alan R. Schned…·Saeed Hassanpour

This study develops a machine learning model to predict 10-year overall survival in bladder cancer patients using clinical and molecular features, without relying on tumor grade classification.

16 citations

humanbulk RNA-seq

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