Search Results - "Shahrokh Esfahani, Mohammad"

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    An experimental design framework for Markovian gene regulatory networks under stationary control policy by Dehghannasiri, Roozbeh, Shahrokh Esfahani, Mohammad, Dougherty, Edward R

    Published in BMC systems biology (21-12-2018)
    “…A fundamental problem for translational genomics is to find optimal therapies based on gene regulatory intervention. Dynamic intervention involves a control…”
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    Journal Article
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    Classifier design given an uncertainty class of feature distributions via regularized maximum likelihood and the incorporation of biological pathway knowledge in steady-state phenotype classification by Shahrokh Esfahani, Mohammad, Knight, Jason, Zollanvari, Amin, Yoon, Byung-Jun, Dougherty, Edward R.

    Published in Pattern recognition (01-10-2013)
    “…Contemporary high-throughput technologies provide measurements of very large numbers of variables but often with very small sample sizes. This paper proposes…”
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    Effect of separate sampling on classification accuracy by Shahrokh Esfahani, Mohammad, Dougherty, Edward R

    Published in Bioinformatics (15-01-2014)
    “…Measurements are commonly taken from two phenotypes to build a classifier, where the number of data points from each class is predetermined, not random. In…”
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    Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors by Boluki, Shahin, Esfahani, Mohammad Shahrokh, Qian, Xiaoning, Dougherty, Edward R

    Published in BMC bioinformatics (28-12-2017)
    “…Phenotypic classification is problematic because small samples are ubiquitous; and, for these, use of prior knowledge is critical. If knowledge concerning the…”
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    Constructing Pathway-Based Priors within a Gaussian Mixture Model for Bayesian Regression and Classification by Boluki, Shahin, Esfahani, Mohammad Shahrokh, Qian, Xiaoning, Dougherty, Edward R.

    “…Gene-expression-based classification and regression are major concerns in translational genomics. If the feature-label distribution is known, then an optimal…”
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    Intrinsically Bayesian Robust Kalman Filter: An Innovation Process Approach by Dehghannasiri, Roozbeh, Esfahani, Mohammad Shahrokh, Dougherty, Edward R.

    Published in IEEE transactions on signal processing (15-05-2017)
    “…In many contemporary engineering problems, model uncertainty is inherent because accurate system identification is virtually impossible owing to system…”
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    Optimal Bayesian Kalman Filtering With Prior Update by Dehghannasiri, Roozbeh, Esfahani, Mohammad Shahrokh, Xiaoning Qian, Dougherty, Edward R.

    Published in IEEE transactions on signal processing (15-04-2018)
    “…In many practical filter design problems, the exact statistical information of the underlying random processes is not available. One robust filtering approach…”
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    Discrete optimal Bayesian classification with error-conditioned sequential sampling by Broumand, Ariana, Esfahani, Mohammad Shahrokh, Yoon, Byung-Jun, Dougherty, Edward R.

    Published in Pattern recognition (01-11-2015)
    “…When in possession of prior knowledge concerning the feature-label distribution, in particular, when it is known that the feature-label distribution belongs to…”
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    Longitudinal Noninvasive Surveillance & Fragmentomic Characterization of Follicular Lymphoma by Schroers-Martin, Joseph, Mutter, Jurik A, Shahrokh Esfahani, Mohammad, Scherer, Florian, Soo, Joanne, Alig, Stefan K., Kurtz, David M., Sugio, Takeshi, Rossi, Cédric, Tessoulin, Benoit, Olsen, Mari, Liu, Chih Long, Diehn, Maximilian, Alizadeh, Ash A.

    Published in Blood (02-11-2023)
    “…Introduction While cell-free DNA (cfDNA) plays an increasingly defined role in aggressive lymphomas, its characteristics in indolent lymphomas are less…”
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