Computational Personalized Medicine in Cancer Research in the -Omics Data Era

  • Duc Hau Le Thuyloi University
  • Quynh Diep Nguyen Thuyloi University
Keywords: personalized medicine, omics data integration, patient stratification, drug response prediction, computational method


Omics data (e.g., genomics, transcriptomics, proteomics, epigenomics, etc . . . ) generated from high-throughput
next-generation sequencers in the big human genome, and
cancer genome projects have changed the way to study
personalized medicine. In the future, personalized medicine
will not be limited to diagnosis and treatment based on a
few known disease-associated mutations on some genes, but
will rely on whole molecular characteristics of patients by
integrating their –omics data. In this study, we draw a big
picture of personalized medicine research in cancer research
of the –omics data era, including –omics databases, challenges
of data fusion to solve two major problems in personalized
medicine, i.e., personalized diagnosis and treatment. These
problems are approached as patient stratification and drug
response prediction based on the –omics data by computational methods.

Author Biographies

Duc Hau Le, Thuyloi University

Le Duc Hau obtained his PhD degree
in Bioinformatics from University of Ulsan, Republic of Korea in 2012. He is
now leading the Department of Computational Biomedicine, Vingroup Big Data
Institute, VietNam. He has been focusing on proposing computational methods
for disease- and drug-related problems in
personalized medicine, especially on identification of diseaseassociated biomarkers, prediction of drug targets and response.
In parallel, he has been developing bioinformatics tools. So far,
he hasmore than fifty papers published in well-recognized journals
and conferences, nearly a half of those are in ISI-indexed journals.
In addition, he has been a member of program committees
and reviewer of several international conferences/journals. Moreover, he is a principal investigator and a key member of some
national/ministry-level projects. Specially, he is the principal investigator of the biggest genome project in Vietnam (i.e., building
databases of genomic variants for Vietnamese population). Finally,
he has been collaborating with some well-recognized international
research institutes.

Quynh Diep Nguyen, Thuyloi University

Quynh Diep Nguyen obtained her PhD degree in Information Technology from the Institute of Information Technology - The Vietnam Academy of Science and Technology in 2015. She is a lecturer at the
School of Computer Science and Engineering, Thuyloi University. She has been focusing on computational methods for reconstructing the metabolic networks. So far, she has more than fifteen papers in journals and conferences published . Moreover, she is a member of some national/ministry-level projects which research on computational methods for uncovering latent knowledge from high-throughput biological data.