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Gholamreza Haffari

Showing results (1-10 of 20) with videos related to

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Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|May 24, 2019
Analyzing Tumor Heterogeneity by Incorporating Long-Range Mutational Influences and Multiple Sample Data into Heterogeneity Factorial Hidden Markov ModelMohammad S Rahman, Gholamreza Haffari
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|July 9, 2013
An efficient algorithm for upper bound on the partition function of nucleic acidsHamidreza Chitsaz, Elmirasadat Forouzmand, Gholamreza Haffari
Journal of Occupational Rehabilitation|October 18, 2019
An Interpretable Algorithm on Post-injury Health Service Utilization Patterns to Predict Injury OutcomesHadi Akbarzadeh Khorshidi, Behrooz Hassani-Mahmooei, Gholamreza Haffari
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|October 17, 2017
HetFHMM: A Novel Approach to Infer Tumor Heterogeneity Using Factorial Hidden Markov ModelsMohammad S Rahman, Ann E Nicholson, Gholamreza Haffari
BMC Genomics|February 2, 2013
Scoring relevancy of features based on combinatorial analysis of Lasso with application to lymphoma diagnosisHabil Zare, Gholamreza Haffari, Arvind Gupta, et al.
Studies in Health Technology and Informatics|August 10, 2019
Early Identification of Undesirable Outcomes for Transport Accident Injured Patients Using Semi-Supervised ClusteringHadi A Khorshidi, Gholamreza Haffari, Uwe Aickelin, et al.
Health Information Science and Systems|September 17, 2019
Multi-objective semi-supervised clustering to identify health service patterns for injured patientsHadi Akbarzadeh Khorshidi, Uwe Aickelin, Gholamreza Haffari, et al.
Journal of Theoretical Biology|February 7, 2018
PREvaIL, an integrative approach for inferring catalytic residues using sequence, structural, and network features in a machine-learning frameworkJiangning Song, Fuyi Li, Kazuhiro Takemoto, et al.
Artificial Intelligence in Medicine|September 6, 2023
Medical visual question answering: A surveyZhihong Lin, Donghao Zhang, Qingyi Tao, et al.
Journal of Biomedical Informatics|October 16, 2016
Text mining electronic hospital records to automatically classify admissions against disease: Measuring the impact of linking data sourcesSimon Kocbek, Lawrence Cavedon, David Martinez, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|May 24, 2019
Analyzing Tumor Heterogeneity by Incorporating Long-Range Mutational Influences and Multiple Sample Data into Heterogeneity Factorial Hidden Markov ModelMohammad S Rahman, Gholamreza Haffari
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|July 9, 2013
An efficient algorithm for upper bound on the partition function of nucleic acidsHamidreza Chitsaz, Elmirasadat Forouzmand, Gholamreza Haffari
Journal of Occupational Rehabilitation|October 18, 2019
An Interpretable Algorithm on Post-injury Health Service Utilization Patterns to Predict Injury OutcomesHadi Akbarzadeh Khorshidi, Behrooz Hassani-Mahmooei, Gholamreza Haffari
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|October 17, 2017
HetFHMM: A Novel Approach to Infer Tumor Heterogeneity Using Factorial Hidden Markov ModelsMohammad S Rahman, Ann E Nicholson, Gholamreza Haffari
BMC Genomics|February 2, 2013
Scoring relevancy of features based on combinatorial analysis of Lasso with application to lymphoma diagnosisHabil Zare, Gholamreza Haffari, Arvind Gupta, et al.
Studies in Health Technology and Informatics|August 10, 2019
Early Identification of Undesirable Outcomes for Transport Accident Injured Patients Using Semi-Supervised ClusteringHadi A Khorshidi, Gholamreza Haffari, Uwe Aickelin, et al.
Health Information Science and Systems|September 17, 2019
Multi-objective semi-supervised clustering to identify health service patterns for injured patientsHadi Akbarzadeh Khorshidi, Uwe Aickelin, Gholamreza Haffari, et al.
Journal of Theoretical Biology|February 7, 2018
PREvaIL, an integrative approach for inferring catalytic residues using sequence, structural, and network features in a machine-learning frameworkJiangning Song, Fuyi Li, Kazuhiro Takemoto, et al.
Artificial Intelligence in Medicine|September 6, 2023
Medical visual question answering: A surveyZhihong Lin, Donghao Zhang, Qingyi Tao, et al.
Journal of Biomedical Informatics|October 16, 2016
Text mining electronic hospital records to automatically classify admissions against disease: Measuring the impact of linking data sourcesSimon Kocbek, Lawrence Cavedon, David Martinez, et al.
Pageof 2