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Probably Learning!
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Probably Learning!

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@chiralbd @deepbioacademy

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hossainlab/README.md

Bio

I am a bioinformatics scientist with a track record of building and deploying reproducible multi-omics frameworks to decode the molecular architecture of cancer and neurological diseases. My research interests three interconnected domains: (1) Integrative analysis of bulk RNA-seq, single-cell RNA-seq, and spatial transcriptomics identify robust immunological biomarkers and therapeutic targets within tumor microenvironments. (2) Deep learning applications in single-cell genomics (data integration, celltype annotation)

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  1. nf-core-rnaseqmeta nf-core-rnaseqmeta Public

    Bulk RNA-seq Meta-analysis Pipeline

    Nextflow 1

  2. salmon-rnaseq salmon-rnaseq Public

    End-to-end bulk RNA-seq quantification pipeline using Salmon and SRA-Tools

    R 1

  3. scRNASeq scRNASeq Public

    Single-cell RNA-Seq Data Analysis with R

    Jupyter Notebook