Bonnie Berger

EECS Massachusetts Institute of Technology, Cambridge, MA, United States 
"Bonnie Berger"


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Daniel J. Kleitman grad student (MathTree)
Silvio Micali grad student MIT (Computer Science Tree)


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Michael Baym grad student
Russell Schwartz grad student MIT
Lisa C. Tucker-Kellogg grad student 1991-1993 (Neurotree)
Mona Singh grad student 1990-1995 MIT (Computer Science Tree)
Lior Pachter grad student 1994-1999 MIT (Evolution Tree)
Manolis Kellis grad student 2000-2003 MIT
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Berger E, Yorukoglu D, Zhang L, et al. (2020) Improved haplotype inference by exploiting long-range linking and allelic imbalance in RNA-seq datasets. Nature Communications. 11: 4662
Cho H, DeMeo B, Peng J, et al. (2019) Large-Margin Classification in Hyperbolic Space. Proceedings of Machine Learning Research. 89: 1832-1840
Cho H, Berger B, Peng J, et al. (2018) Principles of Systems Biology, No. 31. Cell Systems. 7: 133-135
Luo Y, Yu YW, Zeng J, et al. (2018) Metagenomic binning through low-density hashing. Bioinformatics (Oxford, England)
Cho H, Berger B, Peng J. (2018) Generalizable and Scalable Visualization of Single-Cell Data Using Neural Networks. Cell Systems
Cho H, Berger B, Peng J. (2018) Generalizable visualization of mega-scale single-cell data. Research in Computational Molecular Biology : ... Annual International Conference, Recomb ... : Proceedings. Recomb (Conference : 2005-). 10812: 251-253
Liu Y, Palmedo P, Ye Q, et al. (2017) Enhancing Evolutionary Couplings with Deep Convolutional Neural Networks. Cell Systems
Khurana V, Peng J, Chung CY, et al. (2017) Genome-Scale Networks Link Neurodegenerative Disease Genes to α-Synuclein through Specific Molecular Pathways. Cell Systems
Ma CY, Phoebe Chen YP, Berger B, et al. (2017) Identification of Protein Complexes by Integrating Multiple Alignment of Protein Interaction Networks. Bioinformatics (Oxford, England)
Berger B, Daniels NM, Yu YW. (2016) Algorithmic advances take advantage of the structure of massive biological data landscape: Computational Biology in the 21(st) Century: Scaling with Compressive Algorithms. Communications of the Acm. 59: 72-80
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