Author

Chengliang Dong

Columbia University

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 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Assay:whole-exome sequencing· 2 Approach:deep learning· 1 Organism:human· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Congzheng SongiD· 1 shared Daniel Jay BratiD· 1 shared David A. GutmaniD· 1 shared Fatemeh AmrollahiiD· 1 shared Hui YangiD· 1 shared Jose Enrique Velazquez Vega· 1 shared Joshua E. LewisiD· 1 shared Kai WangiD· 1 shared

Activity by Year

2016-2017 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Congzheng SongORCID

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2 papers

Recent·Most cited

Predicting clinical outcomes from large scale cancer genomic profiles with deep survival models

Safoora Yousefi, Fatemeh Amrollahi, Mohamed T. Amgad, Chengliang Dong, Joshua E. Lewis, Congzheng Song, David A. Gutman, Sameer H. Halani, Jose Enrique Velazquez Vega, Daniel Jay Brat, Lee Cooper

This paper applies deep learning and Bayesian optimization to predict cancer clinical outcomes from genomic data, showing improved prognostic accuracy through transfer learning and providing an open-source framework.

Scientific Reports · Sep 11, 2017Peer-reviewedBioinformatics

iCAGES: integrated CAncer GEnome Score for comprehensively prioritizing cancer driver genes in personal genomes

Chengliang Dong, Hui Yang, Zeyu He, Xiaoming Liu, Kai Wang

iCAGES identifies personalized cancer driver genes and predicts therapies by integrating genomic data and biological knowledge, achieving high accuracy in mutation and gene classification.

Genome Medicine · Dec 1, 2016Peer-reviewedGenomics