- At the Centre of Bioinformatics Research and Technology as a Scientific Content Researcher and Writer.
- On Spatial Gene Enhancement using the integration of single cell sequences with spatial image data.
- On Analysing the mutations of EGFR and KRAS genes in NSCLC through tumor segmentations of PET/CT scans.
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Center of Bioinformatics Research and Technology, Delhi, Cell & Molecular Physiology Laboratory, Bioinformatics and Computational Biology Laboratory, Department of Computer Science and Engineering IITJ
- Indian Institute of Technology, Jodhpur
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05:29
(UTC -12:00) - https://bold.pro/my/neermita-bhattacharya-240727130556
- https://cses.fi/user/211774
- in/neermita-bhattacharya-6317511b0
- https://pypi.org/project/BioProt/
- https://neermita.blogspot.com
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ChemSync
ChemSync PublicAnalysis of FDA-approved drugs using Lipinski's rule, Cosine Similarity and Tanimoto Coefficients; an end-to-end streamlit application
Python
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BioScrape
BioScrape PublicA tkinter application displaying the biological data of a DNA sequence/gene from GenBank. Used Selenium and Beautiful Soup for web-scraping.
Python
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NSCLC_gene_mutation_cse_intern
NSCLC_gene_mutation_cse_intern PublicMulti-task learning for NSCLC Radiogenomics. Assessing performance of Vision transformer-based models. Prediction of tumor gene mutation statuses as well as segmentation masks from PET/CT scans
Jupyter Notebook
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Spatial_gene_enhancement_bio_intern
Spatial_gene_enhancement_bio_intern PublicBioinformatics Intern at BSBE Department, IITJ. Benchmarking SOTA transcriptomics machine learning models using LOOCV and Spearman's Correlation Coefficient. Box-plots of methods displayed for visu…
Jupyter Notebook
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Nutritionalreq_Software_Engineering_Project
Nutritionalreq_Software_Engineering_Project PublicHTML 2
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Kaggle_challenges
Kaggle_challenges Public1) Pima_Indians_Diabetes_dataset: 83.11% accuracy. 2) Using ScanPy for gene expressions in scRNA sequencing. 3) Using traditional clustering on RNA dataset 4) Stroke Prediction 95% accuracy on test
Jupyter Notebook
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