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Journal, Genetic Engineering & Biotechnology|May 20, 2025
Transcriptome Derived Artificial neural networks predict PRRC2A as a potent biomarker for epilepsyWayez Naqvi, Prekshi Garg, Prachi Srivastava
Behavioural Brain Research|September 19, 2024
In silico analysis predicts mutational consequences of CITED2, NUDT4, and Ar18B in patients with bipolar disorderHarshita Maheshwari, Prekshi Garg, Prachi Srivastava
IBRO Neuroscience Reports|November 8, 2022
Deciphering the role of precursor miR-12136 and miR-8485 in the progression of intellectual disability (ID)Prekshi Garg, Farrukh Jamal, Prachi Srivastava
Bioinformatics and Biology Insights|February 15, 2024
Comparative Transcriptomics Data Profiling Reveals E2F Targets as an Important Biological Pathway Overexpressed in Intellectual Disability DisorderPrekshi Garg, Farrukh Jamal, Prachi Srivastava
Journal of Hazardous Materials|April 11, 2024
Computational framework for identifying and evaluating mutagenic and xenoestrogenic potential of food additivesShweta Singh Chauhan, Prekshi Garg, Ramakrishnan Parthasarathi
Vitamins and Hormones|January 27, 2023
Molecular docking approaches and its significance in assessing the antioxidant properties in different compoundsNeha Srivastava, Prekshi Garg, Anurag Singh, et al.
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