| Neurodegenerative diseases–is metabolic deficiency the root cause? VR Muddapu, SAP Dharshini, VS Chakravarthy, MM Gromiha Frontiers in neuroscience 14, 213, 2020 | 174 | 2020 |
| Investigating the energy crisis in Alzheimer disease using transcriptome study SAP Dharshini, YH Taguchi, MM Gromiha Scientific reports 9 (1), 18509, 2019 | 27 | 2019 |
| Exploring the selective vulnerability in Alzheimer disease using tissue specific variant analysis SAP Dharshini, YH Taguchi, MM Gromiha Genomics 111 (4), 936-949, 2019 | 19 | 2019 |
| VEPAD-Predicting the effect of variants associated with Alzheimer's disease using machine learning U Rangaswamy, SAP Dharshini, D Yesudhas, MM Gromiha Computers in biology and medicine 124, 103933, 2020 | 18 | 2020 |
| NGS meta data analysis for identification of SNP and INDEL patterns in human airway transcriptome: A preliminary indicator for lung cancer B Sathya, AP Dharshini, GR Kumar Applied & translational genomics 4, 4-9, 2015 | 15 | 2015 |
| Exploring common therapeutic targets for neurodegenerative disorders using transcriptome study SAP Dharshini, S Jemimah, Y Taguchi, M Gromiha Frontiers in Genetics 12, 338, 2021 | 13 | 2021 |
| Identifying suitable tools for variant detection and differential gene expression using RNA-seq data SAP Dharshini, YH Taguchi, MM Gromiha Genomics 112 (3), 2166-2172, 2020 | 13 | 2020 |
| Neurodegenerative diseases–is metabolic deficiency the root cause? Front Neurosci 14 (213) VR Muddapu, SAP Dharshini, VS Chakravarthy, MM Gromiha | 7 | 2020 |
| Alz-Disc: A Tool to Discriminate Disease-causing and Neutral Mutations in Alzheimer's Disease A Kulandaisamy, SA Parvathy Dharshini, MM Gromiha Combinatorial Chemistry & High Throughput Screening 26 (4), 769-777, 2023 | 5 | 2023 |
| Tumor heterogeneity and molecular characteristics of glioblastoma revealed by single-cell RNA-Seq data analysis D Yesudhas, SAP Dharshini, YH Taguchi, MM Gromiha Genes 13 (3), 428, 2022 | 4 | 2022 |
| Identification of transcription factors, biological pathways, and diseases as mediated by N6-methyladenosine using tensor decomposition-based unsupervised feature extraction Y Taguchi, SAP Dharshini, MM Gromiha Applied Sciences 11 (1), 213, 2020 | 4 | 2020 |
| Integrative Meta-analysis of Huntington’s disease transcriptome landscape NP Sneha, SAP Dharshini, YH Taguchi, MM Gromiha Genes 13 (12), 2385, 2022 | 3 | 2022 |
| Exploring Plausible Therapeutic Targets for Alzheimer's Disease using Multi-omics Approach, Machine Learning and Docking SA Parvathy Dharshini, NP Sneha, D Yesudhas, A Kulandaisamy, ... Current Topics in Medicinal Chemistry 22 (22), 1868-1879, 2022 | 3 | 2022 |
| Exploring plausible therapeutic targets for Alzheimer's disease using multi-omics approach, machine learning and docking. PD SA, NP Sneha, D Yesudhas, A Kulandaisamy, U Rangaswamy, ... Current Topics in Medicinal Chemistry, 2022 | 2 | 2022 |
| Investigating neuron degeneration in huntington’s disease using RNA-Seq based transcriptome study NP Sneha, SAP Dharshini, Y Taguchi, MM Gromiha Genes 14 (9), 1801, 2023 | 1 | 2023 |
| Go-Explore-NoGo (GEN) Paradigm in Decision Making—A Multimodel Approach VS Chakravarthy, AA Moustafa, A Mandali, S Akila Parvathy Dharshini, ... Computational Neuroscience Models of the Basal Ganglia, 153-166, 2018 | | 2018 |
| Identifying suitable spliced mapper and genomic assembly for variant detection SAP Dharshini, Y Taguchi, MM Gromiha | | |
