Feature selection in Spark
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Updated
Sep 25, 2024 - Python
Feature selection in Spark
Patient subgrouping with distinct survival rates via integration of multiomics data on a Grassmann manifold
Scripts for methylation data qc and performing single and multi-ancestry EWAS.
Documentation analysis and manuscript figures of QuRIE-seq methods paper.
Documentation analysis and manuscript figures
This is a group project
A R package to jointly embed peaks and genes from paired scATAC-seq and scRNA-seq data into a shared low-dimensional space and enable condition comparison.
Survival Analysis on the TCGA-PAAD (The Cancer Genome Atlas-Pancreatic Adenocarcinoma) dataset
NetICS: network-based integration of multi-omics data for prioritizing cancer genes
deep learning patient classifier based on patient similarity networks
Curated and evolving portfolio of my computational genomics and bioinformatics projects, including data modeling, phylogenetic profiling, and multi-omics integration.
A study on multi-omic oscillations in Escherichia coli metabolic networks. Journal paper.
Integrating multi-omics data coming from the same physical source (e.g. patient) by taking into account the chromatin configuration of the genome, i.e. the topologically associ-ating domains (TADs)
Omics BioAnalytics - RShiny web app for bioinformatics analyses
Data for analysis of the MoTrPAC endurance exercise training study in 6-month-old rats
Differential analysis of multi-omics data based on the Tweedie distribution
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