Rezultati - Mohammed, Akram

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  1. 1
    Computational Approaches for Automated Classification of Enzyme Sequences

    Computational Approaches for Automated Classification of Enzyme Sequences od Mohammed, Akram, Guda, Chittibabu

    Izdano 2011
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  2. 2
    Application of a hierarchical enzyme classification method reveals the role of gut microbiome in human metabolism

    Application of a hierarchical enzyme classification method reveals the role of gut microbiome in human metabolism od Mohammed, Akram, Guda, Chittibabu

    Izdano 2015
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  3. 3
    Etiology and antibiotic resistance patterns of community-acquired urinary tract infections in J N M C Hospital Aligarh, India

    Etiology and antibiotic resistance patterns of community-acquired urinary tract infections in J N M C Hospital Aligarh, India od Mohammed Akram, Mohammed Shahid, Asad U. Khan

    Izdano 2007
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    Artigo
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  4. 4
    Identification of potential tissue-specific cancer biomarkers and development of cancer versus normal genomic classifiers

    Identification of potential tissue-specific cancer biomarkers and development of cancer versus normal genomic classifiers od Mohammed, Akram, Biegert, Greyson, Adamec, Jiri, Helikar, Tomáš

    Izdano 2017
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  5. 5
    CancerDiscover: an integrative pipeline for cancer biomarker and cancer class prediction from high-throughput sequencing data

    CancerDiscover: an integrative pipeline for cancer biomarker and cancer class prediction from high-throughput sequencing data od Mohammed, Akram, Biegert, Greyson, Adamec, Jiri, Helikar, Tomáš

    Izdano 2017
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  6. 6
    Differential gene expression analysis reveals novel genes and pathways in pediatric septic shock patients

    Differential gene expression analysis reveals novel genes and pathways in pediatric septic shock patients od Mohammed, Akram, Cui, Yan, Mas, Valeria R., Kamaleswaran, Rishikesan

    Izdano 2019
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  7. 7
    Non-rheumatic annular mitral stenosis: prevalence and characteristics

    Non-rheumatic annular mitral stenosis: prevalence and characteristics od Mohammed Akram, Tze Yuan Chan, Sandra McAuliffe, Adrian Chenzbraun

    Izdano 2008
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    Artigo
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  8. 8
    LocSigDB: a database of protein localization signals

    LocSigDB: a database of protein localization signals od Negi, Simarjeet, Pandey, Sanjit, Srinivasan, Satish M., Mohammed, Akram, Guda, Chittibabu

    Izdano 2015
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  9. 9
    Machine Learning Identifies Complicated Sepsis Course and Subsequent Mortality Based on 20 Genes in Peripheral Blood Immune Cells at 24 H Post-ICU Admission

    Machine Learning Identifies Complicated Sepsis Course and Subsequent Mortality Based on 20 Genes in Peripheral Blood Immune Cells at 24 H Post-ICU Admission od Banerjee, Shayantan, Mohammed, Akram, Wong, Hector R., Palaniyar, Nades, Kamaleswaran, Rishikesan

    Izdano 2021
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  10. 10
    Molecular identification of two entomopathogenic fungus Clonostachys rosea strains and their efficacy against two aphid species in Iraq

    Molecular identification of two entomopathogenic fungus Clonostachys rosea strains and their efficacy against two aphid species in Iraq od Mohammed, Akram A., Ahmed, Firas A., Younus, Amal S., Kareem, Ali A., Salman, Ali M.

    Izdano 2022
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  11. 11
    A Mechanistic Computational Model Reveals That Plasticity of CD4(+) T Cell Differentiation Is a Function of Cytokine Composition and Dosage

    A Mechanistic Computational Model Reveals That Plasticity of CD4(+) T Cell Differentiation Is a Function of Cytokine Composition and Dosage od Puniya, Bhanwar Lal, Todd, Robert G., Mohammed, Akram, Brown, Deborah M., Barberis, Matteo, Helikar, Tomáš

    Izdano 2018
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  12. 12
    Using Machine Learning to Predict Early Onset Acute Organ Failure in Critically Ill Intensive Care Unit Patients With Sickle Cell Disease: Retrospective Study

    Using Machine Learning to Predict Early Onset Acute Organ Failure in Critically Ill Intensive Care Unit Patients With Sickle Cell Disease: Retrospective Study od Mohammed, Akram, Podila, Pradeep S B, Davis, Robert L, Ataga, Kenneth I, Hankins, Jane S, Kamaleswaran, Rishikesan

    Izdano 2020
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  13. 13
    Poor Prognostic Biochemical Markers Predicting Fatalities Caused by COVID-19: A Retrospective Observational Study From a Developing Country

    Poor Prognostic Biochemical Markers Predicting Fatalities Caused by COVID-19: A Retrospective Observational Study From a Developing Country od Muhammad Sohaib Asghar, Syed Jawad Haider Kazmi, Noman Khan, Mohammed Akram, Maira Hassan, Uzma Rasheed, Salman Khan

    Izdano 2020
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    Artigo
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  14. 14
    Temporal Differential Expression of Physiomarkers Predicts Sepsis in Critically Ill Adults

    Temporal Differential Expression of Physiomarkers Predicts Sepsis in Critically Ill Adults od Mohammed, Akram, Van Wyk, Franco, Chinthala, Lokesh K., Khojandi, Anahita, Davis, Robert L., Coopersmith, Craig M., Kamaleswaran, Rishikesan

    Izdano 2021
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  15. 15
    Angiographically proven coronary artery disease in scleroderma

    Angiographically proven coronary artery disease in scleroderma od Mohammed Akram, Clive Handler, Michael Williams, Maria Teresa Carulli, Mohammed Andron, C. M. Black, Christopher P. Denton, Gerry Coghlan

    Izdano 2006
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  16. 16
    Electrocardiographic changes predate Parkinson’s disease onset

    Electrocardiographic changes predate Parkinson’s disease onset od Akbilgic, Oguz, Kamaleswaran, Rishikesan, Mohammed, Akram, Ross, G. Webster, Masaki, Kamal, Petrovitch, Helen, Tanner, Caroline M., Davis, Robert L., Goldman, Samuel M.

    Izdano 2020
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  17. 17
    Prediction of low Apgar score at five minutes following labor induction intervention in vaginal deliveries: machine learning approach for imbalanced data at a tertiary hospital in North Tanzania

    Prediction of low Apgar score at five minutes following labor induction intervention in vaginal deliveries: machine learning approach for imbalanced data at a tertiary hospital in... od Tarimo, Clifford Silver, Bhuyan, Soumitra S., Zhao, Yizhen, Ren, Weicun, Mohammed, Akram, Li, Quanman, Gardner, Marilyn, Mahande, Michael Johnson, Wang, Yuhui, Wu, Jian

    Izdano 2022
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  18. 18
    Integrative Analyses of Circulating Small RNAs and Kidney Graft Transcriptome in Transplant Glomerulopathy

    Integrative Analyses of Circulating Small RNAs and Kidney Graft Transcriptome in Transplant Glomerulopathy od Kuscu, Canan, Kiran, Manjari, Mohammed, Akram, Kuscu, Cem, Satpathy, Sarthak, Wolen, Aaron, Bardhi, Elissa, Bajwa, Amandeep, Eason, James D., Maluf, Daniel, Mas, Valeria, Akalin, Enver

    Izdano 2021
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  19. 19
    Hematological parameters predicting severity and mortality in COVID-19 patients of Pakistan: a retrospective comparative analysis

    Hematological parameters predicting severity and mortality in COVID-19 patients of Pakistan: a retrospective comparative analysis od Muhammad Sohaib Asghar, Noman Khan, Syed Jawad Haider Kazmi, Aftab Ahmed, Maira Hassan, Rumael Jawed, Mohammed Akram, Uzma Rasheed, Gul Muhammad Memon, Muhammad Umer Ahmed, Umme Tahniyat, Syeda Batool Tirmizi

    Izdano 2020
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  20. 20
    An unusual case of frost bite autoamputation of toes

    An unusual case of frost bite autoamputation of toes od Wani, Adil Hafeez, Mohsin, Mir, Darzi, Mohammed Ashraf, Zaroo, Mohammed Inam, Bashir, Sheikh Adil, Zargar, Haroon Rashid, Rasool , Altaf, Bijli, Mohammed Akram, Dar, Hameedullah, Farooq, Peerzada Omar, Ahmed, Sheikh Tariq

    Izdano 2008
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