| Critical assessment of protein intrinsic disorder prediction M Necci, D Piovesan, SCE Tosatto Nature methods 18 (5), 472-481, 2021 | 206 | 2021 |
| Predict Gram-positive and gram-negative subcellular localization via incorporating evolutionary information and physicochemical features into Chou's general PseAAC R Sharma, A Dehzangi, J Lyons, K Paliwal, T Tsunoda, A Sharma IEEE transactions on nanobioscience 14 (8), 915-926, 2015 | 90 | 2015 |
| OPAL: Prediction of MoRF regions in Intrinsically disordered protein sequence R Sharma, G Raicar, T Tsunoda, A Patil, A Sharma Bioinformatics, 2018 | 66 | 2018 |
| Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth AL Tarca, BÁ Pataki, R Romero, M Sirota, Y Guan, R Kutum, ... Cell Reports Medicine 2 (6), 100323, 2021 | 54 | 2021 |
| MoRFPred-plus: Computational Identification of MoRFs in Protein Sequences using Physicochemical Properties and HMM profiles R Sharma, M Bayarjargal, T Tsunoda, A Patil, A Sharma Journal of theoretical biology 437, 9-16, 2018 | 51 | 2018 |
| OPAL+: Length‐Specific MoRF Prediction in Intrinsically Disordered Protein Sequences R Sharma, A Sharma, G Raicar, T Tsunoda, A Patil PROTEOMICS, 1800058, 2018 | 40 | 2018 |
| Decimation filter with Common Spatial Pattern and Fishers Discriminant Analysis for motor imagery classification S Kumar, R Sharma, A Sharma, T Tsunoda Neural Networks (IJCNN), 2016 International Joint Conference on, 2090-2095, 2016 | 37 | 2016 |
| Forecasting the spread of COVID-19 using LSTM network S Kumar, R Sharma, T Tsunoda, T Kumarevel, A Sharma BMC bioinformatics 22 (6), 1-9, 2021 | 33 | 2021 |
| Predicting MoRFs in Protein Sequences using HMM Profiles R Sharma, S Kumar, T Tsunoda, A Patil, A Sharma BMC Bioinformatcs 17 (Suppl X, S14), 2016 | 32 | 2016 |
| OPTICAL+: a frequency-based deep learning scheme for recognizing brain wave signals S Kumar, R Sharma, A Sharma PeerJ Computer Science 7, e375, 2021 | 29 | 2021 |
| LOCALIZATION FOR WIRELESS SENSOR NETWORKS: ANeural NETWORK APPROACH S Kumar, R Sharma, ER Vans | 24* | |
| HseSUMO: Sumoylation site prediction using half-sphere exposures of amino acids residues A Sharma, A Lysenko, Y López, A Dehzangi, R Sharma, H Reddy, ... BMC Genomics 19 (9), 982, 2019 | 22 | 2019 |
| Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data J Tanevski, T Nguyen, B Truong, N Karaiskos, ME Ahsen, X Zhang, C Shu, ... Life science alliance 3 (11), 2020 | 20 | 2020 |
| Discovering MoRFs by trisecting intrinsically disordered protein sequence into terminals and middle regions R Sharma, A Sharma, A Patil, T Tsunoda BMC Bioinformatics 19 (13), 378, 2019 | 20 | 2019 |
| A crowdsourced analysis to identify ab initio molecular signatures predictive of susceptibility to viral infection S Fourati, A Talla, M Mahmoudian, JG Burkhart, RH Riku Klen, Z Aydin, ... Nature Communications 9 (4418), 1-11, 2018 | 16 | 2018 |
| CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins A Del Conte, A Bouhraoua, M Mehdiabadi, D Clementel, AM Monzon, ... Nucleic Acids Research, gkad430, 2023 | 14 | 2023 |
| Single-stranded and double-stranded DNA-binding protein prediction using HMM profiles R Sharma, S Kumar, T Tsunoda, T Kumarevel, A Sharma Analytical Biochemistry 612, 113954, 2021 | 11 | 2021 |
| CNN-Pred: Prediction of Single-Stranded and Double-Stranded DNA-Binding Protein Using Convolutional Neural Networks F Manavi, A Sharma, R Sharma, T Tsunoda, S Shatabda, I Dehzangi Gene, 147045, 2022 | 8 | 2022 |
| Smart ship container with M2M technology R Sharma, SR Lee The Journal of Korean Institute of Communications and Information Sciences …, 2013 | 6 | 2013 |
| Auto location and security alert embedded with container identification for real time applications R Sharma, Y Lee, BM Kim, YJ Kim, YG Heo, HJ Jeon, KH Kim, SR Lee ICT Convergence (ICTC), 2013 International Conference on, 365-370, 2013 | 4 | 2013 |
