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Scientific Reports
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October 4, 2019
Deciphering Dynamical Nonlinearities in Short Time Series Using Recurrent Neural Networks
Radhakrishnan Nagarajan
IEEE Transactions on Bio-Medical Engineering
|
November 27, 2002
Quantifying physiological data with Lempel-Ziv complexity--certain issues
Radhakrishnan Nagarajan
Physica A
|
February 14, 2009
Delay estimation in a two-node acyclic network
Radhakrishnan Nagarajan
IEEE Transactions on Medical Imaging
|
August 9, 2003
Intensity-based segmentation of microarray images
Radhakrishnan Nagarajan
The International Journal of Biostatistics
|
March 13, 2010
A note on inferring acyclic network structures using Granger causality tests
Radhakrishnan Nagarajan
Plos One
|
December 17, 2013
Impact of noise on molecular network inference
Radhakrishnan Nagarajan, Marco Scutari
Methods in Enzymology
|
December 29, 2010
Inferring functional relationships and causal network structure from gene expression profiles
Radhakrishnan Nagarajan, Meenakshi Upreti
Methods (San Diego, Calif.)
|
July 19, 2017
An ensemble predictive modeling framework for breast cancer classification
Radhakrishnan Nagarajan, Meenakshi Upreti
Artificial Intelligence in Medicine
|
February 12, 2013
Identifying significant edges in graphical models of molecular networks
Marco Scutari, Radhakrishnan Nagarajan
Bioinformatics (Oxford, England)
|
February 29, 2008
Comment on causality and pathway search in microarray time series experiment
Radhakrishnan Nagarajan, Meenakshi Upreti
Page
of 5
Search research articles
Search
Showing results (1-10 of 49) with videos related to
Sort By:
Page
of 5
Scientific Reports
|
October 4, 2019
Deciphering Dynamical Nonlinearities in Short Time Series Using Recurrent Neural Networks
Radhakrishnan Nagarajan
IEEE Transactions on Bio-Medical Engineering
|
November 27, 2002
Quantifying physiological data with Lempel-Ziv complexity--certain issues
Radhakrishnan Nagarajan
Physica A
|
February 14, 2009
Delay estimation in a two-node acyclic network
Radhakrishnan Nagarajan
IEEE Transactions on Medical Imaging
|
August 9, 2003
Intensity-based segmentation of microarray images
Radhakrishnan Nagarajan
The International Journal of Biostatistics
|
March 13, 2010
A note on inferring acyclic network structures using Granger causality tests
Radhakrishnan Nagarajan
Plos One
|
December 17, 2013
Impact of noise on molecular network inference
Radhakrishnan Nagarajan, Marco Scutari
Methods in Enzymology
|
December 29, 2010
Inferring functional relationships and causal network structure from gene expression profiles
Radhakrishnan Nagarajan, Meenakshi Upreti
Methods (San Diego, Calif.)
|
July 19, 2017
An ensemble predictive modeling framework for breast cancer classification
Radhakrishnan Nagarajan, Meenakshi Upreti
Artificial Intelligence in Medicine
|
February 12, 2013
Identifying significant edges in graphical models of molecular networks
Marco Scutari, Radhakrishnan Nagarajan
Bioinformatics (Oxford, England)
|
February 29, 2008
Comment on causality and pathway search in microarray time series experiment
Radhakrishnan Nagarajan, Meenakshi Upreti
Page
of 5