MT-SDREM statistics

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Citations per year

Number of citations per year for the bioinformatics software tool MT-SDREM

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MT-SDREM specifications


Unique identifier OMICS_23674
Alternative name Multi-Task Signaling and Dynamic Regulatory Events Miner
Software type Framework/Library
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Computer skills Advanced
Stability Stable
Source code URL
Maintained Yes


No version available


  • person_outline Ziv Bar-Joseph

Publication for Multi-Task Signaling and Dynamic Regulatory Events Miner

MT-SDREM citation


Reconstructing cancer drug response networks using multitask learning

BMC Syst Biol
PMCID: 5635550
PMID: 29017547
DOI: 10.1186/s12918-017-0471-8

[…] learning algorithms [] and have been applied to a number of different computational biology problems, most notably protein classification [] and GWAS analysis [, ]. More recently, we have introduced MT-SDREM [], the first multi-task method for learning dynamic regulatory networks for multiple immune responses. MT-SDREM combines a graph orientation method with Hidden Markov models (HMMs) to simult […]

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MT-SDREM institution(s)
Computer Science Department, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA; Microsoft Research, Cambridge, MA, USA; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA; Lane Center for Computational Biology and Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA, USA
MT-SDREM funding source(s)
Supported by grants from the National Institute of Health (U01HL108642 and U01HL122626-01), the McDonnell Foundation program in Studying Complex Systems, the National Science Foundation DBI-1356505 and by the Microsoft Research.

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