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Julián Candia, Ph.D.

Julián Candia, Ph.D.

  • Center for Cancer Research
  • National Cancer Institute

RESEARCH SUMMARY

Dr. Candia's research interests are focused on the development and application of analysis tools to provide new insight into biological processes relevant to human health. In particular, the availability of high-throughput, multiparametric datasets presents unique opportunities--and challenges--for the development of novel cross-disciplinary tools and frameworks. In this context, his goal is to apply his expertise at the crossroads of bioinformatics, machine learning, network science, and statistical physics to contribute innovative ideas to key problems in biomedical research.

Dr. Candia is currently a Staff Scientist at the Longitudinal Studies Section of the Translational Gerontology Branch at the National Institute on Aging. Previously, he was part of a CCR basic/translational research program aimed at uncovering the molecular underpinnings of liver carcinogenesis and their clinical applications towards personalized cancer medicine.

Areas of Expertise

1) computational biology 2) bioinformatics 3) machine learning 4) systems biology 5) cancer genomics 6) aging 7) data science 8) statistics

Publications

Selected Recent Publications

The genomic landscape of Mongolian hepatocellular carcinoma

Candia J, Bayarsaikhan E, Tandon M, Budhu A, Forgues M, Tovuu LO, Tudev U, Lack J, Chao A, Chinburen J, Wang XW
Nature Communications. 11: 4383, 2020. [ Journal Article ]

eNetXplorer: an R package for the quantitative exploration of elastic net families for generalized linear models

Candia J, Tsang JS
BMC Bioinformatics . 20: 189, 2019. [ Journal Article ]

Assessment of variability in the SOMAscan assay

Candia J, Cheung F, Kotliarov Y, Fantoni G, Sellers B, Griesman T, Huang J, Stuccio S, Zingone A, Ryan BM, Tsang JS, Biancotto A.
Scientific Reports. 7: 14248, 2017. [ Journal Article ]

Uncovering low-dimensional, miR-based signatures of acute myeloid and lymphoblastic leukemias with a machine-learning-driven network approach

Candia J, Cherukuri S, Guo Y, Doshi KA, Banavar JR, Civin CI, Losert W.
Convergent Science Physical Oncology. 1: 025002, 2015. [ Journal Article ]

From cellular characteristics to disease diagnosis: uncovering phenotypes with supercells

Candia J, Maunu R, Driscoll M, Biancotto A, Dagur P, McCoy JP Jr, Sen HN, Wei L, Maritan A, Cao K, Nussenblatt RB, Banavar JR, Losert W.
PLoS Computational Biology. 9: e1003215, 2013. [ Journal Article ]