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NishatMohammad/README.md

Welcome!!! 👋

Bioinformatician and Medical Doctor

I'm Nishat Fatima Mohammad, a passionate Bioinformatician with medical background. I have strong interests in using my skills in Bioinforamtics, Machine Learning and Artificial Intelligence, and cloud-based automation to find solutions to medical ailments contributing to human suffering.

Projects

1. Machine Learning Models for Tumor Classification and Lung Cancer Prediction

2. Prediction of Diabetes Cases

3. Understanding Interactions between Transcription Factors and Histone Modification in Lymphoblastoid Cell Line through ChIP-Seq Analysis

  • Description: To explore the interactions between transcription factors and histone modifications in a lymphoblastoid cell line using ChIP-Seq analysis, aiming to understand gene regulation mechanisms.
  • Technologies, Tools, Databases: R, ChIP-Seq, Bioconductor, UCSC Browser, ENCODE, HPCC, HTML, LaTex,
  • Link: https://github.com/NishatMohammad/ChIPSeqLymphobalstoidCellLine

4. Transcriptomics Analysis for Sall2 Knock Out Genetically Engineered Mice

Skills

  • Programming Languages: Python, R, Bash, Linux, Groovy, DSL2
  • Bioinformatics Frameworks: Biopython, Bioconda, Galaxy, Snakemake, Nextflow, Tidyverse, R/Bioconductor, GATK, UCSC Genome Browser, ClustalW/Clustal Omega,
  • ML/AI Frameworks: TensorFlow, Keras, PyTorch, Scikit-learn, XGBoost, LightGBM, CatBoost, caret,LLM, SLM, RAG, BioGPT.
  • Tools: Git, GitHub, Docker, Jupyter, RStudio, RSHINY, Seqera
  • Other Skills: NGS Data Analysis, Machine Learning, GWAS, WGS, WES, ChIP-Seq, RNA-Seq, Multi-Omics Integration

Contact Me

Feel free to reach out to me for collaboration, project inquiries, or just to connect!

Popular repositories Loading

  1. PracticeKNN PracticeKNN Public

    Using R to predict prostate cancer cases with KNN

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  2. ApplyKNNforDiabetesCasePrediction ApplyKNNforDiabetesCasePrediction Public

    Using R to predict diabetes cases with KNN

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  3. RegressionModels RegressionModels Public

    Logistic and Multiple regression models

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  4. HeterogenousMLModelLungCancerPrediction HeterogenousMLModelLungCancerPrediction Public

    Aimed to predict Squamous Cell Lung Cancer cases using a TCGA RNA-Seq Dataset through a heterogenous ML model comprising of Decision Trees, Random Forest, Support Vector Machines, Artificial Neural…

    HTML 1

  5. ChIPSeqLymphobalstoidCellLine ChIPSeqLymphobalstoidCellLine Public

    Understanding Interactions between Transcription Factors and Histone Modification in Lymphoblastoid Cell Line through ChIP-Seq Analysis

    HTML 1

  6. MultiOmicsIntegrationWithDeepLearningArchitectures MultiOmicsIntegrationWithDeepLearningArchitectures Public

    Using Deep learning for multi omics Integration via CLI and Jupyter Notebooks

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