| Comprehensive performance assessment of deep learning models in early prediction and risk identification of chronic kidney disease S Akter, A Habib, MA Islam, MS Hossen, WA Fahim, PR Sarkar, M Ahmed IEEE Access 9, 165184-165206, 2021 | 42 | 2021 |
| Risk factor prediction of chronic kidney disease based on machine learning algorithms MA Islam, S Akter, MS Hossen, SA Keya, SA Tisha, S Hossain 2020 3rd international conference on intelligent sustainable systems (ICISS …, 2020 | 41 | 2020 |
| Prediction of condition-specific regulatory genes using machine learning Q Song, J Lee, S Akter, M Rogers, R Grene, S Li Nucleic Acids Research 48 (11), e62-e62, 2020 | 34 | 2020 |
| A reverse-transcription/RNase H based protocol for depletion of mosquito ribosomal RNA facilitates viral intrahost evolution analysis, transcriptomics and pathogen discovery JR Fauver, S Akter, AIO Morales, WC Black IV, AD Rodriguez, ... Virology 528, 181-197, 2019 | 24 | 2019 |
| Nutritional status impacts dengue virus infection in mice C Chuong, TA Bates, S Akter, SR Werre, T LeRoith, J Weger-Lucarelli BMC biology 18, 1-14, 2020 | 21 | 2020 |
| Application of biochemical tests and machine learning techniques to diagnose and evaluate liver disease S Akter, HU Shekhar, S Akhteruzzaman Advances in Bioscience and Biotechnology 12 (06), 154-172, 2021 | 19 | 2021 |
| AD-CovNet: An exploratory analysis using a hybrid deep learning model to handle data imbalance, predict fatality, and risk factors in Alzheimer's patients with COVID-19 S Akter, D Das, RU Haque, MIQ Tonmoy, MR Hasan, S Mahjabeen, ... Computers in Biology and Medicine 146, 105657, 2022 | 14 | 2022 |
| Deleterious single nucleotide polymorphisms (SNPs) of human IFNAR2 gene facilitate COVID-19 severity in patients: a comprehensive in silico approach S Akter, AS Roy, MIQ Tonmoy, MS Islam Journal of Biomolecular Structure and Dynamics 40 (21), 11173-11189, 2022 | 10 | 2022 |
| Comprehensive characterization of the coding and non-coding single nucleotide polymorphisms in the tumor protein p63 (TP63) gene using in silico tools S Akter, S Hossain, MA Ali, MI Hosen, HU Shekhar Biomolecules 11 (11), 1733, 2021 | 5 | 2021 |
| The E2 glycoprotein holds key residues for Mayaro virus adaptation to the urban Aedes aegypti mosquito F Roesch, C Cereghino, L Carrau, A Hardy, H Ribeiro-Filho, AH Lacritick, ... bioRxiv, 2022.04. 05.487100, 2022 | 4 | 2022 |
| Identification of novel lincRNA and co-expression network analysis using RNA-sequencing data in plants S Qi, S Akter, S Li Plant long non-coding RNAs: methods and protocols, 207-221, 2019 | 4 | 2019 |
| Broca’s area of brain to analyze the language impairment problem and behavior analysis of autism MA Islam, R Karim, F Ahmed, Maksuda, MS Hossen, S Akter Decision Intelligence Analytics and the Implementation of Strategic Business …, 2022 | 3 | 2022 |
| The E2 glycoprotein holds key residues for Mayaro virus adaptation to the urban Aedes aegypti mosquito C Cereghino, F Roesch, L Carrau, A Hardy, HV Ribeiro-Filho, ... PLoS Pathogens 19 (4), e1010491, 2023 | 2 | 2023 |
| Identification of common and unique stress responsive genes of Arabidopsis thaliana under different abiotic stress through RNA-Seq meta-analysis S Akter Virginia Tech, 2018 | 2 | 2018 |
| CKD. Net: A novel deep learning hybrid model for effective, real-time, automated screening tool towards prediction of multi stages of CKD along with eGFR and creatinine S Akter, M Ahmed, A Al Imran, A Habib, RU Haque, MS Rahman, ... Expert Systems with Applications 223, 119851, 2023 | 1 | 2023 |
| Peeling back the many layers of competitive exclusion JJ Maurer, Y Cheng, A Pedroso, KK Thompson, S Akter, T Kwan, ... Frontiers in Microbiology 15, 1342887, 2024 | | 2024 |
James WegerVirginia Tech UniversityVerified email at vt.edu
