RefInt: A curated reference interactome with true positives and negatives for benchmarking protein-protein interactions.
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Updated
Dec 22, 2019 - R
RefInt: A curated reference interactome with true positives and negatives for benchmarking protein-protein interactions.
statistical modelling of the wine data-set available at https://www.kaggle.com/zynicide/wine-reviews
This is a POC on regression analysis from the simplest to advanced regression model. Notable things that is done is Data Preprocessing, Data Visualization, Feature Engineering and Statistical Modelling.
A/B Hypothesis Testing.
Industry - Casualty Challenge
financial data analytics using statistical modelling and machine learning techniques
X-Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing (TPAMI 2023)
This repository contains learning materials and assignments for the subject MAST90139 Statistical Modelling for Data Science
A general modelling framework for specifying and fitting models to empirical fundamental diagrams of road traffic, and for comparing the model fits using information criteria
financial risk management projects
Highlights of my research work in MATLAB, statistical modeling of the unstructured raw data from GPS satellites for several years. Data modeling and processing, followed by different residual plots including trends and root mean square. In the end, the result was compared with independent data set models for validation purposes. The results were…
The official implementation of "Bayesian Image Super-Resolution with Deep Modeling of Image Statistics" via TensorFlow
Fully automated (rodent) limb motion analysis toolbox for behavioral analysis with bodypart coordinate data, building upon markerless pose estimation.
BayeSeg: Bayesian Modelling for Medical Image Segmentation with Interpretable Generalizability
Statistical testing with R
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