|
2022 Journal Article EEG-based emotion analysis using non-linear features and ensemble learning approachesRahman, Md. Mustafizur, Sarkar, Ajay Krishno, Hossain, Md. Amzad and Moni, Mohammad Ali (2022). EEG-based emotion analysis using non-linear features and ensemble learning approaches. Expert Systems with Applications, 207 118025, 1-26. doi: 10.1016/j.eswa.2022.118025 |
|
2022 Journal Article iAMAP-SCM: a novel computational tool for large-scale identification of antimalarial peptides using estimated propensity scores of dipeptidesCharoenkwan, Phasit, Schaduangrat, Nalini, Lio, Pietro, Moni, Mohammad Ali, Chumnanpuen, Pramote and Shoombuatong, Watshara (2022). iAMAP-SCM: a novel computational tool for large-scale identification of antimalarial peptides using estimated propensity scores of dipeptides. ACS Omega, 7 (45), 41082-41095. doi: 10.1021/acsomega.2c04465 |
|
2022 Journal Article The burden of bacterial antimicrobial resistance in the WHO European region in 2019: a cross-country systematic analysisMestrovic, Tomislav, Robles Aguilar, Gisela, Swetschinski, Lucien R, Ikuta, Kevin S, Gray, Authia P, Davis Weaver, Nicole, Han, Chieh, Wool, Eve E, Gershberg Hayoon, Anna, Hay, Simon I, Dolecek, Christiane, Sartorius, Benn, Murray, Christopher J L, Addo, Isaac Yeboah, Ahinkorah, Bright Opoku, Ahmed, Ayman, Aldeyab, Mamoon A, Allel, Kasim, Ancuceanu, Robert, Anyasodor, Anayochukwu Edward, Ausloos, Marcel, Barra, Fabio, Bhagavathula, Akshaya Srikanth, Bhandari, Dinesh, Bhaskar, Sonu, Cruz-Martins, Natália, Dastiridou, Anna, Dokova, Klara, Dubljanin, Eleonora ... Naghavi, Mohsen (2022). The burden of bacterial antimicrobial resistance in the WHO European region in 2019: a cross-country systematic analysis. The Lancet Public Health, 7 (11), e897-e913. doi: 10.1016/s2468-2667(22)00225-0 |
|
2022 Journal Article Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learningTalukder, Md. Alamin, Islam, Md. Manowarul, Uddin, Md Ashraf, Akhter, Arnisha, Hasan, Khondokar Fida and Moni, Mohammad Ali (2022). Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning. Expert Systems with Applications, 205 117695, 117695. doi: 10.1016/j.eswa.2022.117695 |
|
2022 Journal Article Improved prediction and characterization of blood-brain barrier penetrating peptides using estimated propensity scores of dipeptidesCharoenkwan, Phasit, Chumnanpuen, Pramote, Schaduangrat, Nalini, Lio’, Pietro, Moni, Mohammad Ali and Shoombuatong, Watshara (2022). Improved prediction and characterization of blood-brain barrier penetrating peptides using estimated propensity scores of dipeptides. Journal of Computer - Aided Molecular Design, 36 (11), 781-796. doi: 10.1007/s10822-022-00476-z |
|
2022 Journal Article Novel algorithm for multi-time data implantation in a special cyber-manufacturing architectureNahar, Mahbubun, Kamal, A. H. M., Hassan, Md Rafiul and Moni, Mohammad Ali (2022). Novel algorithm for multi-time data implantation in a special cyber-manufacturing architecture. Algorithms, 15 (10) 335, 335. doi: 10.3390/a15100335 |
|
2022 Journal Article Computational prediction and interpretation of druggable proteins using a stacked ensemble-learning frameworkCharoenkwan, Phasit, Schaduangrat, Nalini, Lio’, Pietro, Moni, Mohammad Ali, Shoombuatong, Watshara and Manavalan, Balachandran (2022). Computational prediction and interpretation of druggable proteins using a stacked ensemble-learning framework. iScience, 25 (9) 104883, 1-15. doi: 10.1016/j.isci.2022.104883 |
|
2022 Journal Article Prospects of integrated multi-omics-driven biomarkers for efficient hair loss therapy from systems biology perspectiveYilmaz, Dilan Nisa, Onluturk Aydogan, Ozge, Kori, Medi, Aydin, Busra, Rahman, Md. Rezanur, Moni, Mohammad Ali and Turanli, Beste (2022). Prospects of integrated multi-omics-driven biomarkers for efficient hair loss therapy from systems biology perspective. Gene Reports, 28 101657, 1-9. doi: 10.1016/j.genrep.2022.101657 |
|
2022 Journal Article SCMRSA: A new approach for identifying and analyzing anti-MRSA peptides using estimated propensity scores of dipeptidesCharoenkwan, Phasit, Kanthawong, Sakawrat, Schaduangrat, Nalini, Li', Pietro, Moni, Mohammad Ali and Shoombuatong, Watshara (2022). SCMRSA: A new approach for identifying and analyzing anti-MRSA peptides using estimated propensity scores of dipeptides. ACS Omega, 7 (36), 32653-32664. doi: 10.1021/acsomega.2c04305 |
|
2022 Journal Article CNN based on transfer learning models using data augmentation and transformation for detection of concrete crackIslam, Md. Monirul, Hossain, Md. Belal, Akhtar, Md. Nasim, Moni, Mohammad Ali and Hasan, Khondokar Fida (2022). CNN based on transfer learning models using data augmentation and transformation for detection of concrete crack. Algorithms, 15 (8) 287, 287. doi: 10.3390/a15080287 |
|
2022 Journal Article Systems biology models to identify the influence of SARS-CoV-2 infections to the progression of human autoimmune diseasesAl-Mustanjid, Md, Mahmud, S. M. Hasan, Akter, Farzana, Rahman, Md Shazzadur, Hossen, Md Sajid, Rahman, Md Habibur and Moni, Mohammad Ali (2022). Systems biology models to identify the influence of SARS-CoV-2 infections to the progression of human autoimmune diseases. Informatics in Medicine Unlocked, 32 101003, 1-15. doi: 10.1016/j.imu.2022.101003 |
|
2022 Journal Article Adolescent transport and unintentional injuries: a systematic analysis using the Global Burden of Disease Study 2019Peden, Amy E, Cullen, Patricia, Francis, Kate Louise, Moeller, Holger, Peden, Margaret M, Ye, Pengpeng, Tian, Maoyi, Zou, Zhiyong, Sawyer, Susan M, Aali, Amirali, Abbasi-Kangevari, Zeinab, Abbasi-Kangevari, Mohsen, Abdelmasseh, Michael, Abdoun, Meriem, Abd-Rabu, Rami, Abdulah, Deldar Morad, Abebe, Getachew, Abebe, Ayele Mamo, Abedi, Aidin, Abidi, Hassan, Aboagye, Richard Gyan, Abubaker Ali, Hiwa, Abu-Gharbieh, Eman, Adane, Denberu Eshetie, Adane, Tigist Demssew, Addo, Isaac Yeboah, Adewole, Ololade Grace, Adhikari, Sangeet, Adnan, Mohammad ... Ivers, Rebecca Q (2022). Adolescent transport and unintentional injuries: a systematic analysis using the Global Burden of Disease Study 2019. The Lancet Public Health, 7 (8), e657-e669. doi: 10.1016/S2468-2667(22)00134-7 |
|
2022 Journal Article Bioinformatics strategies to identify shared molecular biomarkers that link ischemic stroke and moyamoya disease with glioblastomaIslam, Md Khairul, Islam, Md Rakibul, Rahman, Md Habibur, Islam, Md Zahidul, Amin, Md Al, Ahmed, Kazi Rejvee, Rahman, Md Ataur, Moni, Mohammad Ali and Kim, Bonglee (2022). Bioinformatics strategies to identify shared molecular biomarkers that link ischemic stroke and moyamoya disease with glioblastoma. Pharmaceutics, 14 (8) 1573, 1573. doi: 10.3390/pharmaceutics14081573 |
|
2022 Journal Article Early-stage detection of ovarian cancer based on clinical data using machine learning approachesAhamad, Md. Martuza, Aktar, Sakifa, Uddin, Md. Jamal, Rahman, Tasnia, Alyami, Salem A., Al-Ashhab, Samer, Akhdar, Hanan Fawaz, Azad, AKM and Moni, Mohammad Ali (2022). Early-stage detection of ovarian cancer based on clinical data using machine learning approaches. Journal of Personalized Medicine, 12 (8) 1211, 1211. doi: 10.3390/jpm12081211 |
|
2022 Journal Article Genetic pathways associated with sleep problems in children with autism spectrum disorderLin, Ping-I, Masi, Anne, Moni, Mohammad Ali, Kummerfeld, Sarah and Eapen, Valsamma (2022). Genetic pathways associated with sleep problems in children with autism spectrum disorder. Frontiers in Psychiatry, 13 904091, 1-8. doi: 10.3389/fpsyt.2022.904091 |
|
2022 Journal Article SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteinsCharoenkwan, Phasit, Schaduangrat, Nalini, Moni, Mohammad Ali, Lio’, Pietro, Manavalan, Balachandran and Shoombuatong, Watshara (2022). SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteins. Computers in Biology and Medicine, 146 105704, 105704. doi: 10.1016/j.compbiomed.2022.105704 |
|
2022 Journal Article A classification of MRI brain tumor based on two stage feature level ensemble of deep CNN modelsAurna, Nahid Ferdous, Yousuf, Mohammad Abu, Taher, Kazi Abu, Azad, A.K.M. and Moni, Mohammad Ali (2022). A classification of MRI brain tumor based on two stage feature level ensemble of deep CNN models. Computers in Biology and Medicine, 146 105539, 105539. doi: 10.1016/j.compbiomed.2022.105539 |
|
2022 Journal Article Hydrogel nanoarchitectonics: an evolving paradigm for ultrasensitive biosensingNishat, Zakia Sultana, Hossain, Tanvir, Islam, Md. Nazmul, Phan, Hoang‐Phuong, Wahab, Md A., Moni, Mohammad Ali, Salomon, Carlos, Amin, Mohammed A., Sina, Abu Ali Ibn, Hossain, Md Shahriar A., Kaneti, Yusuf Valentino, Yamauchi, Yusuke and Masud, Mostafa Kamal (2022). Hydrogel nanoarchitectonics: an evolving paradigm for ultrasensitive biosensing. Small, 18 (26) 2107571, 2107571. doi: 10.1002/smll.202107571 |
|
2022 Journal Article GreenMolBD: nature derived bioactive molecules' databaseZahid Hosen, S. M., Junaid, Md., Alam, Muhammad Shaiful, Rubayed, Maruf, Dash, Raju, Akter, Rasheda, Sharmin, Tania, Mouri, Nusrat Jahan, Moni, Mohammad Ali, Khatun, Mahmuda and Mostafa, Mohammad (2022). GreenMolBD: nature derived bioactive molecules' database. Medicinal Chemistry, 18 (6), 724-733. doi: 10.2174/1573406418666211129103458 |
|
2022 Journal Article Clinical and behavioral attributes leading to sleep disorders in children on the autism spectrumMasi, Anne, Moni, Mohammod Ali, Azim, Syeda Ishra, Choi, Byungkuk, Heussler, Helen, Lin, Ping-I, Diaz, Antonio Mendoza and Eapen, Valsamma (2022). Clinical and behavioral attributes leading to sleep disorders in children on the autism spectrum. Autism Research, 15 (7), 1274-1287. doi: 10.1002/aur.2745 |
