October, 2015

A clinical question debated for more than 20 years has been resolved 

"Treat or not treat" for colon cancer stage 2 patients, an issue which has been debated for more than 20 years, has been successfully resolved by developing a new algorithm and combinatory cancer hallmark-based gene signature sets. See JAMA Oncology (PDF) and the news report from Reuters (PDF). 

May, 2104

The Cancer Hallmark Network Framework has been published

The Hallmarks of Cancer represent the most important understanding of cancer in the past of 50 years. However, these hallmarks have been largely descriptive. This framework enables the cancer hallmarks to be represented, quantified and further modeled computationally  using molecular networks. The quantified models allow examining the collective effects of genomic alterations on cancer hallmark networks for predicting clinical outcomes. See Seminars in Cancer Biology (PDF). 

March, 2104

The work of the cancer network motifs has been featured in a college textbook, Genetics (2014, 2017)

The pioneering work of the cancer network motifs with a series of reports to show the molecular mechanisms of cancer progression and clinical features in the context of network motifs (PDF). The textbook (published by McGraw-Hill Ryerson, 2014) is edited by a Nobel Laureate Dr. Hartwell and the father of systems biology, Dr. Hood. The original work was published in 2007. 

September, 2006

The pioneering work of the microRNA networks has been published, which opens a new research area 

The pioneering work of the microRNA networks has been published. Up to 2018, >7,000 papers in this research area (miRNA/lncRNA networks) have been published.   



Genomic data analysis (Whole-exome, RNA-seq, Methylation, CNV, tumor only): see here (pdf), website (html)

Single-cell genomic data analysis: see here

Omic analysis tools: see here