Author

T.-G. Chang

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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Cancer Biology· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Organism:plant (other)· 1

Frequent Co-Authors

C. Valero· 1 shared D. Chowell· 1 shared E. Ruppin· 1 shared F. Chen· 1 shared F. Miao· 1 shared H. Sfreddo· 1 shared H. Zhao· 1 shared L. G. T. Morris· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperCancer Biology

C. Valero

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Robust prediction of patient outcomes with immune checkpoint blockade therapy for cancer using common clinical, pathologic, and genomic features

T.-G. Chang, Y. Cao, H. Sfreddo, S. R. Dhruba, S.-H. Lee, C. Valero, S.-K. Yoo, D. Chowell, L. G. T. Morris, E. Ruppin

This study develops a logistic regression model to predict immune checkpoint blockade response and survival in cancer patients using common clinical and genomic features.

bioRxiv · Jul 4, 2023 · PreprintCancer Biology

A critical role of stable grain filling rate in maximizing rice yield revealed by whole plant carbon nitrogen interaction modeling

T.-G. Chang, Z.-W. Wei, Z. Shi, Y. Xiao, H. Zhao, S. Chang, M. Qu, Q. Song, F. Chen, F. Miao, X.-G. Zhu

This study develops a whole-plant carbon nitrogen interaction model to show that a stable grain filling rate from flowering to harvest maximizes rice yield, validated in high-yielding cultivars.

bioRxiv · Oct 6, 2020Plant Biology