Skip to content
View vincentxa847's full-sized avatar

Block or report vincentxa847

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. Msc-project_2802815 Msc-project_2802815 Public

    Identified graph-based clustering as an effective method for grouping functional related genes of different stages of the Plasmodium life cycle and web application for users to interact with gene c…

    R

  2. Building_database_of_multi-omics_data Building_database_of_multi-omics_data Public

    Second assignment for the Programming and Databases course: Using multi-omics data to build a relational database for fast random access

    Python

  3. Explore_transcriptomic_differences_among_three_biological_conditions_with_bulk-RNAseq_dataset Explore_transcriptomic_differences_among_three_biological_conditions_with_bulk-RNAseq_dataset Public

    Project of course Data Exploration for Bioinformatics to demonstrate the advanced ability to create and interpret the plots with reference to the biological purpose of the experiment.

    R

  4. Identify_Different_Cell_Types_by_Exploring_scRNA-seq_datasets_with_Seurat_and_Slingshot Identify_Different_Cell_Types_by_Exploring_scRNA-seq_datasets_with_Seurat_and_Slingshot Public

    Second project for the RNA-seq and Next Generation Transcriptomics course to demonstrate the ability to interpret single-cell RNAseq data by performing integration analysis with Seurat and pseudoti…

    R

  5. From_Raw_Data_to_Differential_Expression From_Raw_Data_to_Differential_Expression Public

    First project for the RNA-seq and Next Generation Transcriptomics course to demonstrate the ability of NGS data processing.

    R

  6. Variant-parser Variant-parser Public

    Project of the Biological Computing in Python course: Parsing variants from VCF file and retrieving corresponding variant information from GFF and FASTA file to generate a summary table of the vari…

    Python