was an exciting experience to me and thus I am here to obtain more.
Bio-informatics and machine learning are two fields I am involved the most,
but to learn math and apply math should be more accurate definition of my work.
The following are the topics I am interested in most recently:
When should we NOT transfer functional annotation between sequence paralogs?
Pacific Symposium on Biocomputing (PSB), 2017
Cao M, Cowen L supporting material
Designing Exit Frequency Distance Measures for Biological Networks.
Abstract appears at SIAM workshop on Network Science, 2016
Beveridge A, Cao M, Redlich A, Cowen L
Clinical Vestibular Testing Assessed with Machine Learning Algorithms.
JAMA Otolaryngology-Head & Neck Surgery, Volume 141(4), 2015
Priesol A, Cao M, Brodley C, Lewis R supporting material
New Directions for Diffusion-Based Network Prediction of Protein Function: Incorporating Pathways with Confidence.
Bioinformatics, Volume 30(12), i219-i227, 2014
Cao M, Pietras C.M, Feng X, Doroschak K, Schaffner T, Park J, Zhang H, Cowen L, Hescott B supporting website
(a talk is given in International Conference on Intelligent Systems for Molecular Biology, July 2014)
Going the distance for protein function prediction. PLOS ONE, Volume 8, e76339, 2013 [pdf] Cao M, Zhang H, Daniels N, Park J, Crovella M, Cowen L, Hescott B supporting website
(a poster is presented in Computational Aspects of Biological Information 2013 at Microsoft Research New England)
Remote homology detection on alpha-structural proteins using simulated evolution.
In Proceeding ACM-BCB 2012
[pdf] Cao M and Cowen L supporting website
(a talk is given in ACM-BCB 2012)
New Directions for Diffusion-Based Network Prediction of Protein Function: Incorporating Pathways with Confidence
The 22nd Annual International Conference on Intelligent Systems for Molecular Biology 2014
Remote homology detection on alpha-structural proteins using simulated evolution
The 5th ACM Conference on Bioinformatics, Computational Biology and Health Informatics 2012