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Combining data on 2019 power shutoffs, wildfires, and probabilistic fire simulations we evaluate the tradeoffs between the economic impact of this mitigation strategy and the fire it seeks to prevent.
Incredibly useful set of tools for VNFT holders, creators, and managers married together with DEX Price charts for VET Token pairs, and much much more.
Our mission here at PGxInsight is to improve the lives of everyday people by making sure they have the best medication prescribed to them based on their unique genome.
Verifying the m6A site-prediction abilities of Gene2Vec against direct m6A-sequencing-generated data.
Drawbacks of R programming
An overview on the drawbacks of R programming language.
5 Reasons why an Data scientist must learn R programming language.
Worlds best Timesheet Tracking, Leave Management, Attendance and Employee rostering system - All in one place.
We built a website containing analysis and visualization of mental health data.
Detect early, detect here. Used Data mining and ML algorithms on brain MRI data and patient background information to predict the expected CDR value to indicate the stage of Alzheimer's Disease.
Automated Metabolic Database Query
Humans rely on inference and prediction as the core methodology for learning. Thus, we will wager stats and key characteristics etc to change the way we support and gamble on our favorite sports teams
Provide pharmaceutical researchers with the most up-to-date clinical trial information through molecular fingerprint similarity calculation of small molecule drugs.
The human microbiome is intertwined with human health. We trained a XGBoost model to classify disease state based on microbiome data and identified key 71 species which influence disease outcomes.
One of the interesting topics that I think worth analyzing with quantitative methods
Visualizing data for the top 1000 highest grossing movies based on movie poster colors.
Creating an algorithm to identify ASO targets for TFs, which can aid drug design for RNA-based therapeutics. This aligns well with the advent of personalised therapy in the biopharmaceutical industry.
We help companies to get more out of their meetings in less time, by offering an integrated suite of cutting-edge software and advanced AI-based diagnostics.
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We use implement models, namely Piecewise Linear Regression Model, Neural Network Model and Reinforcement Learning model, to predict the energy price based on the price in the past few days.
Our project aims to limit food waste. Users can input their groceries and quantities over a period of time, and in return, will receive a list of curated recipes
Graph algoritms for geo data
Zhiyu Li, StatsDeptofLSE, 202104615
Data Cleaning, Visualization, Classification Prediction
