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2022

Journal Article

Identifying molecular signatures and pathways shared between Alzheimer's and Huntington's disorders: a bioinformatics and systems biology approach

Mahbub, Nosin Ibna, Hasan, Md. Imran, Rahman, Md Habibur, Naznin, Feroza, Islam, Md Zahidul and Moni, Mohammad Ali (2022). Identifying molecular signatures and pathways shared between Alzheimer's and Huntington's disorders: a bioinformatics and systems biology approach. Informatics in Medicine Unlocked, 30 100888, 1-12. doi: 10.1016/j.imu.2022.100888

Identifying molecular signatures and pathways shared between Alzheimer's and Huntington's disorders: a bioinformatics and systems biology approach

2022

Journal Article

Deep CNN-LSTM with self-attention model for human activity recognition using wearable sensor

Khatun, Mst. Alema, Yousuf, Mohammad Abu, Ahmed, Sabbir, Uddin, Md. Zia, Alyami, Salem A., Al-Ashhab, Samer, Akhdar, Hanan F., Khan, Asaduzzaman, Azad, Akm and Moni, Mohammad Ali (2022). Deep CNN-LSTM with self-attention model for human activity recognition using wearable sensor. IEEE Journal of Translational Engineering in Health and Medicine, 10 2700316, 1-16. doi: 10.1109/jtehm.2022.3177710

Deep CNN-LSTM with self-attention model for human activity recognition using wearable sensor

2022

Journal Article

Particle swarm optimized fuzzy CNN with quantitative feature fusion for ultrasound image quality identification

Hossain, Muhammad Minoar, Hasan, Md. Mahmodul, Rahim, Md Abdur, Rahman, Mohammad Motiur, Yousuf, Mohammad Abu, Al-Ashhab, Samer, Akhdar, Hanan F., Alyami, Salem A., Azad, AKM and Moni, Mohammad Ali (2022). Particle swarm optimized fuzzy CNN with quantitative feature fusion for ultrasound image quality identification. IEEE Journal of Translational Engineering in Health and Medicine, 10 1800712, 1-13. doi: 10.1109/jtehm.2022.3197923

Particle swarm optimized fuzzy CNN with quantitative feature fusion for ultrasound image quality identification

2022

Journal Article

In silico molecular docking and ADME/T analysis of Quercetin compound with its evaluation of broad-spectrum therapeutic potential against particular diseases

Hasan, Md Mahmudul, Khan, Zidan, Chowdhury, Mohammed Salahuddin, Khan, Md Arif, Moni, Mohammad Ali and Rahman, Md Habibur (2022). In silico molecular docking and ADME/T analysis of Quercetin compound with its evaluation of broad-spectrum therapeutic potential against particular diseases. Informatics in Medicine Unlocked, 29 100894, 1-8. doi: 10.1016/j.imu.2022.100894

In silico molecular docking and ADME/T analysis of Quercetin compound with its evaluation of broad-spectrum therapeutic potential against particular diseases

2021

Journal Article

Cancer incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life years for 29 cancer groups from 2010 to 2019: A systematic analysis for the Global Burden of Disease Study 2019

Kocarnik, Jonathan M., Compton, Kelly, Dean, Frances E., Fu, Weijia, Gaw, Brian L., Harvey, James D., Henrikson, Hannah Jacqueline, Lu, Dan, Pennini, Alyssa, Xu, Rixing, Ababneh, Emad, Abbasi-Kangevari, Mohsen, Abbastabar, Hedayat, Abd-Elsalam, Sherief M., Abdoli, Amir, Abedi, Aidin, Abidi, Hassan, Abolhassani, Hassan, Adedeji, Isaac Akinkunmi, Adnani, Qorinah Estiningtyas Sakilah, Advani, Shailesh M., Afzal, Muhammad Sohail, Aghaali, Mohammad, Ahinkorah, Bright Opoku, Ahmad, Sajjad, Ahmad, Tauseef, Ahmadi, Ali, Ahmadi, Sepideh, Ahmed Rashid, Tarik ... Force, Lisa M. (2021). Cancer incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life years for 29 cancer groups from 2010 to 2019: A systematic analysis for the Global Burden of Disease Study 2019. JAMA Oncology, 8 (3), 420-444. doi: 10.1001/jamaoncol.2021.6987

Cancer incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life years for 29 cancer groups from 2010 to 2019: A systematic analysis for the Global Burden of Disease Study 2019

2021

Journal Article

StackDPPIV: A novel computational approach for accurate prediction of dipeptidyl peptidase IV (DPP-IV) inhibitory peptides

Charoenkwan, Phasit, Nantasenamat, Chanin, Hasan, Md Mehedi, Moni, Mohammad Ali, Lio', Pietro, Manavalan, Balachandran and Shoombuatong, Watshara (2021). StackDPPIV: A novel computational approach for accurate prediction of dipeptidyl peptidase IV (DPP-IV) inhibitory peptides. Methods, 204, 189-198. doi: 10.1016/j.ymeth.2021.12.001

StackDPPIV: A novel computational approach for accurate prediction of dipeptidyl peptidase IV (DPP-IV) inhibitory peptides

2021

Journal Article

Umpred-frl: a new approach for accurate prediction of umami peptides using feature representation learning

Charoenkwan, Phasit, Nantasenamat, Chanin, Hasan, Md Mehedi, Moni, Mohammad Ali, Manavalan, Balachandran and Shoombuatong, Watshara (2021). Umpred-frl: a new approach for accurate prediction of umami peptides using feature representation learning. International Journal of Molecular Sciences, 22 (23) 13124, 13124. doi: 10.3390/ijms222313124

Umpred-frl: a new approach for accurate prediction of umami peptides using feature representation learning

2021

Journal Article

The global burden of adolescent and young adult cancer in 2019: a systematic analysis for the Global Burden of Disease Study 2019

GBD 2019 Adolescent Young Adult Cancer Collaborators, Wubishet, Befikadu Legesse and Moni, Mohammad Ali (2021). The global burden of adolescent and young adult cancer in 2019: a systematic analysis for the Global Burden of Disease Study 2019. The Lancet. Oncology, 23 (1), 27-52. doi: 10.1016/S1470-2045(21)00581-7

The global burden of adolescent and young adult cancer in 2019: a systematic analysis for the Global Burden of Disease Study 2019

2021

Journal Article

LungNet: A hybrid deep-CNN model for lung cancer diagnosis using CT and wearable sensor-based medical IoT data

Faruqui, Nuruzzaman, Yousuf, Mohammad Abu, Whaiduzzaman, Md, Azad, A. K.M., Barros, Alistair and Moni, Mohammad Ali (2021). LungNet: A hybrid deep-CNN model for lung cancer diagnosis using CT and wearable sensor-based medical IoT data. Computers in Biology and Medicine, 139 104961, 104961. doi: 10.1016/j.compbiomed.2021.104961

LungNet: A hybrid deep-CNN model for lung cancer diagnosis using CT and wearable sensor-based medical IoT data

2021

Journal Article

Identification of molecular biomarkers and pathways of NSCLC: insights from a systems biomedicine perspective

Islam, Rakibul, Ahmed, Liton, Paul, Bikash Kumar, Ahmed, Kawsar, Bhuiyan, Touhid and Moni, Mohammad Ali (2021). Identification of molecular biomarkers and pathways of NSCLC: insights from a systems biomedicine perspective. Journal of Genetic Engineering and Biotechnology, 19 (1) 43, 43. doi: 10.1186/s43141-021-00134-1

Identification of molecular biomarkers and pathways of NSCLC: insights from a systems biomedicine perspective

2021

Journal Article

Stem cell therapies and benefaction of somatic cell nuclear transfer cloning in COVID-19 era

Singh, Birbal, Mal, Gorakh, Verma, Vinod, Tiwari, Ruchi, Khan, Muhammad Imran, Mohapatra, Ranjan K., Mitra, Saikat, Alyami, Salem A., Emran, Talha Bin, Dhama, Kuldeep and Moni, Mohammad Ali (2021). Stem cell therapies and benefaction of somatic cell nuclear transfer cloning in COVID-19 era. Stem Cell Research and Therapy, 12 (1) 283, 1-16. doi: 10.1186/s13287-021-02334-5

Stem cell therapies and benefaction of somatic cell nuclear transfer cloning in COVID-19 era

2021

Journal Article

A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images

Ahamed, Khabir Uddin, Islam, Manowarul, Uddin, Ashraf, Akhter, Arnisha, Paul, Bikash Kumar, Yousuf, Mohammad Abu, Uddin, Shahadat, Quinn, Julian M.W. and Moni, Mohammad Ali (2021). A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images. Computers in Biology and Medicine, 139 105014, 105014. doi: 10.1016/j.compbiomed.2021.105014

A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images

2021

Journal Article

Mapping subnational HIV mortality in six Latin American countries with incomplete vital registration systems

Cork, Michael A., Henry, Nathaniel J., Watson, Stefanie, Croneberger, Andrew J., Baumann, Mathew, Letourneau, Ian D., Yang, Mingyou, Serfes, Audrey L., Abbas, Jaffar, Abbasi, Nooshin, Abbastabar, Hedayat, Abreu, Lucas G., Abu-Gharbieh, Eman, Achappa, Basavaprabhu, Adabi, Maryam, Adal, Tadele G., Adegbosin, Adeyinka E., Adekanmbi, Victor, Adetokunboh, Olatunji O., Agudelo-Botero, Marcela, Ahinkorah, Bright O., Ahmadi, Keivan, Ahmed, Muktar B., Alhassan, Robert K., Alipour, Vahid, Almasi-Hashiani, Amir, Alvis-Guzman, Nelson, Ancuceanu, Robert, Andrei, Tudorel ... Dwyer-Lindgren, Laura (2021). Mapping subnational HIV mortality in six Latin American countries with incomplete vital registration systems. BMC Medicine, 19 (1) 4. doi: 10.1186/s12916-020-01876-4

Mapping subnational HIV mortality in six Latin American countries with incomplete vital registration systems

2021

Journal Article

Machine learning-based statistical analysis for early stage detection of cervical cancer

Ali, Md Mamun, Ahmed, Kawsar, Bui, Francis M., Paul, Bikash Kumar, Ibrahim, Sobhy M., Quinn, Julian M.W. and Moni, Mohammad Ali (2021). Machine learning-based statistical analysis for early stage detection of cervical cancer. Computers in Biology and Medicine, 139 104985, 104985. doi: 10.1016/j.compbiomed.2021.104985

Machine learning-based statistical analysis for early stage detection of cervical cancer

2021

Journal Article

In silico identification and characterization of AGO, DCL and RDR gene families and their associated regulatory elements in sweet orange (Citrus sinensis L.)

Mosharaf, Md. Parvez, Rahman, Hafizur, Ahsan, Md. Asif, Akond, Zobaer, Ahmed, Fee Faysal, Islam, Md. Mazharul, Moni, Mohammad Ali and Mollah, Md. Nurul Haque (2021). In silico identification and characterization of AGO, DCL and RDR gene families and their associated regulatory elements in sweet orange (Citrus sinensis L.). PLoS One, 15 (12) e0228233. doi: 10.1371/journal.pone.0228233

In silico identification and characterization of AGO, DCL and RDR gene families and their associated regulatory elements in sweet orange (Citrus sinensis L.)

2021

Journal Article

Bioinformatics and system biology approaches to identify the diseasome and comorbidities complexities of SARS-CoV-2 infection with the digestive tract disorders

Nashiry, Md Asif, Sumi, Shauli Sarmin, Sharif Shohan, Mohammad Umer, Alyami, Salem A., Azad, A. K.M. and Moni, Mohammad Ali (2021). Bioinformatics and system biology approaches to identify the diseasome and comorbidities complexities of SARS-CoV-2 infection with the digestive tract disorders. Briefings in Bioinformatics, 22 (6) bbab126. doi: 10.1093/bib/bbab126

Bioinformatics and system biology approaches to identify the diseasome and comorbidities complexities of SARS-CoV-2 infection with the digestive tract disorders

2021

Journal Article

Integration and interplay of machine learning and bioinformatics approach to identify genetic interaction related to ovarian cancer chemoresistance

Chen, Kexin, Xu, Haoming, Lei, Yiming, Lio, Pietro, Li, Yuan, Guo, Hongyan and Ali Moni, Mohammad (2021). Integration and interplay of machine learning and bioinformatics approach to identify genetic interaction related to ovarian cancer chemoresistance. Briefings in Bioinformatics, 22 (6) bbab100. doi: 10.1093/bib/bbab100

Integration and interplay of machine learning and bioinformatics approach to identify genetic interaction related to ovarian cancer chemoresistance

2021

Journal Article

rMisbeta: A robust missing value imputation approach in transcriptomics and metabolomics data

Shahjaman, Md., Rahman, Md. Rezanur, Islam, Tania, Auwul, Md. Rabiul, Moni, Mohammad Ali and Mollah, Md. Nurul Haque (2021). rMisbeta: A robust missing value imputation approach in transcriptomics and metabolomics data. Computers in Biology and Medicine, 138 104911, 104911. doi: 10.1016/j.compbiomed.2021.104911

rMisbeta: A robust missing value imputation approach in transcriptomics and metabolomics data

2021

Journal Article

Development of an in silico multi-epitope vaccine against SARS-COV-2 by précised immune-informatics approaches

Al Zamane, Saad, Nobel, Fahim Alam, Jebin, Ruksana Akter, Amin, Mohammed Badrul, Somadder, Pratul Dipta, Antora, Nusrat Jahan, Hossain, Md Imam, Islam, Mohammod Johirul, Ahmed, Kawsar and Moni, Mohammad Ali (2021). Development of an in silico multi-epitope vaccine against SARS-COV-2 by précised immune-informatics approaches. Informatics in Medicine Unlocked, 27 100781, 1-22. doi: 10.1016/j.imu.2021.100781

Development of an in silico multi-epitope vaccine against SARS-COV-2 by précised immune-informatics approaches

2021

Journal Article

Bioinformatics and system biology approaches to identify pathophysiological impact of COVID-19 to the progression and severity of neurological diseases

Rahman, Md Habibur, Rana, Humayan Kabir, Peng, Silong, Kibria, Md Golam, Islam, Md Zahidul, Mahmud, S M Hasan and Moni, Mohammad Ali (2021). Bioinformatics and system biology approaches to identify pathophysiological impact of COVID-19 to the progression and severity of neurological diseases. Computers in Biology and Medicine, 138 104859, 104859. doi: 10.1016/j.compbiomed.2021.104859

Bioinformatics and system biology approaches to identify pathophysiological impact of COVID-19 to the progression and severity of neurological diseases