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Johns Hopkins University
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Work-Samples
Work-Samples PublicThis repository has a collection of bioinformatics assessments and analyses demonstrating proficiency in ML and next-generation sequencing (NGS) data analysis.
Jupyter Notebook
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Glioma-ML-Classifier-with-ANOVA-Feature-Selection
Glioma-ML-Classifier-with-ANOVA-Feature-Selection PublicPipeline using TCGA data to classify glioma subtypes using machine learning models. The pipeline includes data preprocessing, ANOVA-based feature selection, and model training using Logistic Regres…
Jupyter Notebook
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ChIP-Seq-Nexflow-Pipeline
ChIP-Seq-Nexflow-Pipeline PublicNextflow DSL2 ChIP-Seq analysis pipeline including quality control, alignment, peak calling, blacklist filtering, annotation, motif analysis, and visualization.
Nextflow
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scRNASeq-cancer-cell-line
scRNASeq-cancer-cell-line PublicAnalysis of scRNA-seq data from cancer cell lines using Python (Scanpy) to explore the potential application of antibody therapies such as Trastuzumab and Bevacizumab in additional cancers.
Jupyter Notebook
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LCS-dynamic-programming
LCS-dynamic-programming PublicPython implementation of LCS using dynamic programming. Submission for EN.605.620 Algorithms for Bioinformatics.
Python
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WES-Variant-Calling
WES-Variant-Calling PublicShell workflow designed to process Whole Exome Sequencing (WES) data following GATK4 best practices for variant calling.
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