Simon Cai
Simon Cai
Home
Publications
Projects
Talks
Light
Dark
Automatic
Cancer
Opportunities for pharmacoproteomics in biomarker discovery
Proteomic data are a uniquely valuable resource for drug response prediction and biomarker discovery because most drugs interact …
Rebecca C Poulos
,
Zhaoxiang (Simon) Cai
,
Phillip J Robinson
,
Roger R Reddel
,
Qing Zhong
Cite
DOI
Pan-cancer proteomic map of 949 human cell lines reveals principles of cancer vulnerabilities
Proteomic data can reveal novel associations between genotype and phenotype, beyond what is apparent from genomics or transcriptomics alone. However, a lack of large proteomic datasets across a range of cancer types has limited our understanding of proteome network organisation and regulation.
HetFHMM: A novel approach to infer tumor heterogeneity using factorial Hidden Markov model
Cancer arises from successive rounds of mutations which generate tumor cells with different genomic variation i.e. clones. For drug …
Gholamreza Haffari
,
Zhaoxiang (Simon) Cai
,
Mohammad S Rahman
,
Ann E Nicholson
PDF
Cite
Cite
×