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Bioinformatics | Genomics | AI for Biological Data I work at the intersection of bioinformatics, data science, and artificial intelligence to analyze complex biological systems. My work focuses on genomics, transcriptomics, RNA-seq analysis, and computational modelling, combining mathematics, machine learning, and scalable pipelines to uncover biological insights. 🎓 MS Bioinformatics — Northeastern University 🎓 B.Tech Biotechnology — MIT-ADT University
🌐 Portfolio:
📧 135.mayankgandhi@gmail.com 📧 gandhi.may@northeastern.edu |
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Focusing
- Boston, Massachusetts, United States
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06:54
(UTC -04:00) - https://orcid.org/0009-0000-3448-9308
- https://orcid.org/0009-0000-3448-9308
- in/ mayankgandhi0713
- https://mayankgandhi13.github.io
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Transcriptomics-Analysis-of-COPD-vs-Control-Lung-Tissue-GSE76925
Transcriptomics-Analysis-of-COPD-vs-Control-Lung-Tissue-GSE76925 PublicGenome-wide transcriptomic profiling of COPD vs. control lung tissue (GSE76925) using RNA-seq. Includes quality control, normalization, differential expression analysis (DESeq2/edgeR), and function…
HTML
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NeuroExprViz
NeuroExprViz PublicCross-tool Alzheimer's transcriptomics visualization — GSE5281 analyzed in R (limma), Python (Seaborn), and JavaScript (Plotly.js) to compare which visualization stack is most efficient for bioinfo…
R
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ivSYTE
ivSYTE PublicCFO investor dashboard for IvSYTE Diagnostics — a hypothetical multi-cancer early detection company. Built with HTML, Chart.js, and vanilla JS. Includes funding timeline, market opportunity, revenu…
HTML
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