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Nikhita Gogate

Showing results (1-10 of 11) with videos related to

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Environmental Science and Pollution Research International|May 8, 2021
Influence of hydrological factors on bacterial community structure in a tropical monsoonal estuary in IndiaAmmini Parvathi, Michela Catena, Vijayan Jasna, et al.
Journal of Neurodevelopmental Disorders|December 16, 2021
Patterns of psychopathology and cognition in sex chromosome aneuploidySrishti Rau, Ethan T Whitman, Kimberly Schauder, et al.
Medrxiv : the Preprint Server for Health Sciences|December 16, 2024
Improving Automated Deep Phenotyping Through Large Language Models Using Retrieval Augmented GenerationBrandon T Garcia, Lauren Westerfield, Priya Yelemali, et al.
Briefings in Bioinformatics|May 20, 2021
COVID-19 biomarkers and their overlap with comorbidities in a disease biomarker data modelNikhita Gogate, Daniel Lyman, Amanda Bell, et al.
Genome Medicine|August 18, 2025
Improving automated deep phenotyping through large language models using retrieval-augmented generationBrandon T Garcia, Lauren Westerfield, Priya Yelemali, et al.
Glycobiology|August 4, 2022
Modeling and integration of N-glycan biomarkers in a comprehensive biomarker data modelDaniel F Lyman, Amanda Bell, Alyson Black, et al.
Indian Journal of Pediatrics|January 12, 2020
A Targeted Next Generation Sequencing Panel for Non-syndromic Early Onset Severe Obesity and Identification of Novel Likely -Pathogenic Variants in the MC4R and LEP GenesVaman Khadilkar, Nikhita Gogate, Priyanka Gangodkar, et al.
JCO Clinical Cancer Informatics|March 7, 2020
OncoMX: A Knowledgebase for Exploring Cancer Biomarkers in the Context of Related Cancer and Healthy DataHayley M Dingerdissen, Frederic Bastian, K Vijay-Shanker, et al.
Medrxiv : the Preprint Server for Health Sciences|October 14, 2024
Resolution of <i>SLC6A1</i> variable expressivity in a multi-generational family using deep clinical phenotyping and <i>Drosophila</i> modelsKristy L Jay, Nikhita Gogate, Kim Ezell, et al.
HGG Advances|November 1, 2025
Resolving SLC6A1 variable expressivity with deep clinical phenotyping and Drosophila modelsKristy L Jay, Nikhita Gogate, Paige I Hall, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Environmental Science and Pollution Research International|May 8, 2021
Influence of hydrological factors on bacterial community structure in a tropical monsoonal estuary in IndiaAmmini Parvathi, Michela Catena, Vijayan Jasna, et al.
Journal of Neurodevelopmental Disorders|December 16, 2021
Patterns of psychopathology and cognition in sex chromosome aneuploidySrishti Rau, Ethan T Whitman, Kimberly Schauder, et al.
Medrxiv : the Preprint Server for Health Sciences|December 16, 2024
Improving Automated Deep Phenotyping Through Large Language Models Using Retrieval Augmented GenerationBrandon T Garcia, Lauren Westerfield, Priya Yelemali, et al.
Briefings in Bioinformatics|May 20, 2021
COVID-19 biomarkers and their overlap with comorbidities in a disease biomarker data modelNikhita Gogate, Daniel Lyman, Amanda Bell, et al.
Genome Medicine|August 18, 2025
Improving automated deep phenotyping through large language models using retrieval-augmented generationBrandon T Garcia, Lauren Westerfield, Priya Yelemali, et al.
Glycobiology|August 4, 2022
Modeling and integration of N-glycan biomarkers in a comprehensive biomarker data modelDaniel F Lyman, Amanda Bell, Alyson Black, et al.
Indian Journal of Pediatrics|January 12, 2020
A Targeted Next Generation Sequencing Panel for Non-syndromic Early Onset Severe Obesity and Identification of Novel Likely -Pathogenic Variants in the MC4R and LEP GenesVaman Khadilkar, Nikhita Gogate, Priyanka Gangodkar, et al.
JCO Clinical Cancer Informatics|March 7, 2020
OncoMX: A Knowledgebase for Exploring Cancer Biomarkers in the Context of Related Cancer and Healthy DataHayley M Dingerdissen, Frederic Bastian, K Vijay-Shanker, et al.
Medrxiv : the Preprint Server for Health Sciences|October 14, 2024
Resolution of <i>SLC6A1</i> variable expressivity in a multi-generational family using deep clinical phenotyping and <i>Drosophila</i> modelsKristy L Jay, Nikhita Gogate, Kim Ezell, et al.
HGG Advances|November 1, 2025
Resolving SLC6A1 variable expressivity with deep clinical phenotyping and Drosophila modelsKristy L Jay, Nikhita Gogate, Paige I Hall, et al.
Pageof 2