nedaghohabi

Bioengineering PhD student at Northeastern University.

Northeastern UniversityBoston

Pinned Repositories

Colorectal_Cancer_Subsetting
Colorectal cancer CMSs subtyping and personalized medication recommendation based on RNA seq pathway analysis
Language:Jupyter Notebook0 0 00
CRC-Dashboard
Colorectal Cancer Subtypes
Language:CSS00
CRC-Microbiome-Classification
Prediction of colorectal cancer (CRC) phenotype based on Microbiome Metagenomics
Language:Jupyter Notebook0 1 00
dsmil-wsi
DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image
Language:Python00
Genevar22
GeneVar is an open-access, gene centric data browser for structural variants (SVs) analysis. https://jmonlong.shinyapps.io/GeneVar/
Language:R00
Histopathology-Image-Tiling
tessellating tumor area in whole slide images into square tiles
0 1 00
omics-miner
Patient stratification and molecular mechanism identification using patient clinotypes and transcriptomics embeddings
Language:Jupyter Notebook0 0 00
PC-CHiP
Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis
Language:Python0 0 00
protpore
Peptide Nanopore signal analysis
Language:Python00
TCGA-RNA-seq
TCGA Colorectal Cancer RNA seq Data Analysis Pipeline
Language:R0 1 00

nedaghohabi/Colorectal_Cancer_Subsetting
Colorectal cancer CMSs subtyping and personalized medication recommendation based on RNA seq pathway analysis
Language:Jupyter Notebook0 0 00
nedaghohabi/CRC-Dashboard
Colorectal Cancer Subtypes
Language:CSS00
nedaghohabi/CRC-Microbiome-Classification
Prediction of colorectal cancer (CRC) phenotype based on Microbiome Metagenomics
Language:Jupyter Notebook0 1 00
nedaghohabi/dsmil-wsi
DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image
Language:Python00
nedaghohabi/Genevar22
GeneVar is an open-access, gene centric data browser for structural variants (SVs) analysis. https://jmonlong.shinyapps.io/GeneVar/
Language:R00
nedaghohabi/Histopathology-Image-Tiling
tessellating tumor area in whole slide images into square tiles
0 1 00
nedaghohabi/omics-miner
Patient stratification and molecular mechanism identification using patient clinotypes and transcriptomics embeddings
Language:Jupyter Notebook0 0 00
nedaghohabi/PC-CHiP
Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis
Language:Python0 0 00
nedaghohabi/protpore
Peptide Nanopore signal analysis
Language:Python00
nedaghohabi/TCGA-RNA-seq
TCGA Colorectal Cancer RNA seq Data Analysis Pipeline
Language:R0 1 00