Electrophysiological maturation of cerebral organoids correlates with dynamic morphological and cellular development SR Fair, D Julian, AM Hartlaub, ST Pusuluri, G Malik, TL Summerfied, ... Stem cell reports 15 (4), 855-868, 2020 | 106 | 2020 |
A model to predict the function of hypothetical proteins through a nine-point classification scoring schema J Ijaq, G Malik, A Kumar, PS Das, N Meena, N Bethi, VS Sundararajan, ... BMC bioinformatics 20, 1-8, 2019 | 50 | 2019 |
A biomolecule based data storage system G Malik, PK Dhar | 37 | 2016 |
A web resource for nutrient use efficiency-related genes, quantitative trait loci and microRNAs in important cereals and model plants A Kumar, A Pandeya, G Malik, M Sharma, A Kumar, V Gahlaut, ... F1000Research 7, 2018 | 11 | 2018 |
Tracking without re-recognition in humans and machines D Linsley, G Malik, J Kim, LN Govindarajan, E Mingolla, T Serre Advances in Neural Information Processing Systems 34, 19473-19486, 2021 | 10 | 2021 |
The challenge of appearance-free object tracking with feedforward neural networks G Malik, D Linsley, T Serre, E Mingolla arXiv preprint arXiv:2110.02772, 2021 | 6 | 2021 |
Hypothetical Proteins as Predecessors of Long Non-coding RNAs G Malik, T Agarwal, U Raj, VS Sundararajan, OR Bandapalli, ... Current Genomics 21 (7), 531-535, 2020 | 4 | 2020 |
Robustness of humans and machines on object recognition with extreme image transformations D Crowder, G Malik arXiv preprint arXiv:2205.05167, 2022 | 3 | 2022 |
Little Motion, Big Results: Using Motion Magnification to Reveal Subtle Tremors in Infants G Malik, IK Gulati arXiv preprint arXiv:2008.04946, 2020 | 3 | 2020 |
Machine learning heuristics on gingivobuccal cancer gene datasets reveals key candidate attributes for prognosis T Singh, G Malik, S Someshwar, HTT Le, R Polavarapu, LN Chavali, ... Genes 13 (12), 2379, 2022 | 2 | 2022 |
Extreme Image Transformations Affect Humans and Machines Differently G Malik, D Crowder, E Mingolla arXiv:2212.13967, 2022 | 1 | 2022 |
Solving Royal Game of Ur Using Reinforcement Learning S Malhotra, G Malik arXiv preprint arXiv:2208.10669, 2022 | 1 | 2022 |
Hypo: a database of human hypothetical proteins VS Sundararajan, G Malik, J Ijaq, A Kumar, PS Das, S PR, AS Nair, ... Protein and Peptide Letters 25 (8), 799-803, 2018 | 1 | 2018 |
Classification of Allostery in Proteins: A Deep Learning Approach G Malik, A Kloczkowski Biophysical Journal 114 (3), 422a, 2018 | 1 | 2018 |
A Web-resource for Nutrient Use Efficiency related Genes, QTLs, and microRNA in important cereals and model plants A Kumar, A Pandeya, G Malik, KP Hima, KS Anil, M Sharma, V Gahlaut, ... bioRxiv, 222992, 2017 | 1 | 2017 |
Prediction of Protein Aggregation Propensities using GOR Method M Kouza, G Malik, E Faraggi, A Kolinski, I Buhimschi, A Kloczkowski Biophysical Journal 112 (3), 198a-199a, 2017 | 1 | 2017 |
Extreme Image Transformations Facilitate Robust Latent Object Representations G Malik, D Crowder, E Mingolla arXiv preprint arXiv:2310.07725, 2023 | | 2023 |
Improving Object Tracking and Recognition in Machines With Insights From Biological Vision G Malik Northeastern University, 2023 | | 2023 |
Machine Learning Heuristics on Gingivobuccal Cancer Gene Datasets Reveals Key Candidate Attributes for Prognosis. Genes 2022, 13, 2379 T Singh, G Malik, S Someshwar, HTT Le, R Polavarapu, LN Chavali, ... s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022 | | 2022 |
A Graph Theoretical Approach for Deciphering Residue Characteristics in Allosteric Communication Paths G Malik, A Banerji, M Kouza, I Buhimschi, A Kloczkowski PROTEIN SCIENCE 27, 133-133, 2018 | | 2018 |