Surbhi Malhotra's Projects
Data, notebooks, and articles associated with the RSNA AI Deep Learning Lab at RSNA 2021
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
assignment weeek 4 project
The Leek group guide to data sharing
Deep Learning Toolkit for Medical Image Analysis
Plotting Assignment 1 for Exploratory Data Analysis
A generalizable application framework for segmentation, regression, and classification using PyTorch
Repository for KGE_Project_RomeCNR data integration project
Notes of course "Molecular Physics" of professor Faccioli at uniTN, QCB master course, 2021-2022
MONTI is a tool for analyzing large multi-omics cancer cohort data in association with clinical featuers
Repository for Programming Assignment 2 for R Programming on Coursera
The project for analyzing differential methylation of MeRIP-seq data
Peer Assessment 1 for Reproducible Research
Statistical Learning course notes (Vinciotti, 2022, Unitn)
A short tutorial on implementing Canonical Polyadic (CP) tensor decomposition in Python
Tools used to analyze and expand gene networks of Vitis Vinifera and Human.
Organize your project into a research website