Going the distance for protein function prediction: a new distance metric for protein interaction networks M Cao, H Zhang, J Park, NM Daniels, ME Crovella, LJ Cowen, B Hescott
PloS one 8 (10), e76339, 2013
163 2013 New directions for diffusion-based network prediction of protein function: incorporating pathways with confidence M Cao, CM Pietras, X Feng, KJ Doroschak, T Schaffner, J Park, H Zhang, ...
Bioinformatics 30 (12), i219-i227, 2014
138 2014 Probabilistic hierarchical forecasting with deep poisson mixtures KG Olivares, ON Meetei, R Ma, R Reddy, M Cao, L Dicker
International Journal of Forecasting 40 (2), 470-489, 2024
33 2024 Clinical vestibular testing assessed with machine-learning algorithms AJ Priesol, M Cao, CE Brodley, RF Lewis
JAMA Otolaryngology–Head & Neck Surgery 141 (4), 364-372, 2015
30 2015 Practice on classification using gaussian mixture model M Cao
Course Project Report for COMP-135, Fall, 2010
7 2010 Remote homology detection on alpha-structural proteins using simulated evolution M Cao, LJ Cowen
Proceedings of the ACM Conference on Bioinformatics, Computational Biology …, 2012
3 2012 When should we not transfer functional annotation between sequence paralogs? M Cao, LJ Cowen
PSB, 15-26, 2017
2 2017 Probabilistic Forecasting with Coherent Aggregation KG Olivares, G Négiar, R Ma, ON Meetei, M Cao, MW Mahoney
arXiv preprint arXiv:2307.09797, 2023
1 2023 Time complexity of Knuth-Morris-Pratt string matching algorithm M Cao
Course Project Report for COMP-160. Tufts University, Medford, USA. url …, 2010
1 2010 CLOVER: Probabilistic forecasting with coherent learning objective reparameterization KIN Olivares, G Negiar, R Ma, ON Meetei, M Cao, M Mahoney
2024 New Graph Metrics Improve Network-based Protein Function Prediction M Cao
Tufts University, 2016
2016 “An O (log n/log log n)-approximation algorithm for the asymmetric traveling salesman problem”[1] M Cao
2011 Kin G. Olivares kigutie@ amazon. com Amazon Forecasting Science, New York G Négiar, R Ma, M Cao
KG Olivares, G Négiar, R Ma, ON Meetei, M Cao, MW Mahoney
Transactions on Machine Learning Research, 0
Feature Selection Using Evidence Function on Bayesian Linear Regression M Cao
Semi-Supervised Learning in Diagnosing the Unilateral Loss of Vestibular Functions M Cao
Research Proposal for Machine Learning in Vestibular Project M Cao, G Barash, D Renfrow, K Small, N Tangri
The CAFA Challenge S Nadimpalli, L Tien, M Cao, D Renfrow-Symon
Lenore J. CowenProfessor of Computer Science, Tufts UniversityZweryfikowany adres z cs.tufts.edu
