Photo of Chang Kim
  • Room 01.019 - H.S.B

    United Kingdom

20142018
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Fingerprint Dive into the research topics where Chang Kim is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 3 Similar Profiles
Transcriptome Medicine & Life Sciences
Progression Mathematics
point defects Physics & Astronomy
light emission Physics & Astronomy
Cancer Mathematics
Connectivity Mathematics
Signature Mathematics
transition metals Physics & Astronomy

Research Output 2014 2018

  • 2 Conference contribution
  • 2 Article
1 Citation (Scopus)
101 Downloads (Pure)

Hundredfold Enhancement of Light Emission via Defect Control in Monolayer Transition-Metal Dichalcogenides

Edelberg, D., Rhodes, D., Kerelsky, A., Kim, B., Wang, J., Zangiabadi, A., Kim, C., Abhinandan, A., Ardelean, J., Scully, M., Scullion, D., Embon, L., Zhang, I., Zu, R., Santos, E. J. G., Balicas, L., Marianetti, C., Barmak, K., Zhu, X. -Y., Hone, J. & 1 others, Pasupathy, A. N., 01 Sep 2018, In : arXiv:1805.00127 [cond-mat.mtrl-sci]. p. 1-27

Research output: Contribution to journalArticle

Open Access
File
point defects
light emission
transition metals
augmentation
defects
5 Citations (Scopus)
159 Downloads (Pure)

A gene-signature progression approach to identifying candidate small-molecule cancer therapeutics with connectivity mapping

Wen, Q., Kim, C., Hamilton, P. & Zhang, S-D., 11 May 2016, In : BMC Bioinformatics. 17, 211, 11 p.

Research output: Contribution to journalArticle

Open Access
File
Progression
Cancer
Connectivity
Signature
Genes

Integrative analysis of chemo-transcriptomic profiles for drug-feature specific gene expression signatures

Kim, C. S., Wen, Q. & Zhang, S-D., Nov 2014, Proceedings for 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Institute of Electrical and Electronics Engineers (IEEE), p. 113-118 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Transcriptome
Pharmaceutical Preparations
Gene Ontology
Genes
Biological Phenomena
3 Citations (Scopus)

RMA with quantile normalization mixes biological signals between different sample groups in microarray data analysis

Kim, C. S., Hwang, S. & Zhang, S-D., Nov 2014, 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Institute of Electrical and Electronics Engineers (IEEE), p. 139-143 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

gene expression
normalisation
data analysis
method
experiment