Here, we studied the conservation of carP sequence and its occurrence in diverse phylogenetic groups of bacteria. In silico analysis revealed that carP and its two paralogues PA2017 and PA0319 are primarily present in P. aeruginosa and belong to the core genome of the species.

5 gene pairs for predicting cervical LN metastasis in patients with early-stages oral squamous cell carcinoma

Code implementation of SHRED variants

βHΞDI (Biomarker-based Heuristic Engine for Dengue Identification) is a computational tool designed for the identification of Dengue virus serotypes in wastewater next-generation sequencing data.

📦 Bioconductor data package associated with the biotmle R package

We provide both Matlab and Python versions of netNorm. In this folder you find the Maltab version of the code.

Different methods for optimizing state-of-the-art feature selection methods namely SVMRFE, HSICLASSO, and mRMR.

Working towards deliverable 5.3

A package for biomarker selection based on multiset multicover and the cross-entropy-method.

CimpleG, an R package to find (small) CpG signatures.

dar: runs multiple differential abundance analysis methods and through a consensus strategy returns a set of differentially abundant features.

NAG-FS (Network Atlas-Guided Feature Selection) for a fast and accurate graph data classification.

Distributed Machine Learning for Bio-marker Prediction from Big Data Stream collected from Multi-modal Wearable Sensor Data

Multimodal Context-Aware Detection of Glioma Biomarkers using MRI and WSI

Demonstrating machine learning pipeline in biomarker discovery tasks using the PLCO Ovarian Cancer Biomarkers dataset.

Objective of this project is to compare different machine learning models and deep learning neural networks. It also focusses on hyperparameter tuning and performance of deep learning neural network over machine learning. Dataset Used: Diabetes prediction

Fall 2020 - Computational Medicine - course project