Author: www.big-data.tips

Snake Make Snakemake Workflow Management Tool Workflow Engine Data Analysis Bioinformatics Python Reproducibility Scalability Portability Cloud Grid Cluster

Snake Make

Snake Make is a workflow management system used for reproducible and scalable big data analysis. It is often used in bioinformatics, but can be used also in other application areas. It is a user-friendly...

Precision Medicine Benefits

Precision medicine benefits are possible when medical decisions are based on of individual patients. The fundamental idea of this data-driven medical approach is described in our article on precision medicine. This article lists six...

Precision Medicine Stratified Medicine P4 Medicine Personalized Medicine Molecular Biomarkers Behavioral Biomarkers Patients Medical Decisions Predictive

Precision Medicine

Precision medicine is a data-driven medical approach that bases medicial decisions on invididual patients by using and individual patient characteristics. The approach is also called stratified medcine or personalized medicine. Some also call it...

Biomarkers Stratisfy Patients Measurable Quantity of Data Genomic alterations Molecular Markers Behavioral Disease Severity Scores Lifestyle Characteristics

Biomarkers

Biomarkers stand for any measurable quantity of big data or score that is used to stratify patients. In other words, stratifying patients mean in this context to arrange or classify them into well-defined risk...

Autoencoder Deep Learning Encoder Decoder Architecture Dimensionality Reduction Technique Unsupervised Learning Denoising Autoencoder High Dimensions

Autoencoder

Autoencoder refers to an unsupervised learning technique that is often used in the context of dimensionality reduction of big data. It projects some data from a higher dimension to a lower dimension via linear...

Euler Equation Fluid Dynamics Eulerian Functions Materials Fluids Liquids Velocity Pressure Density Kinematic Viscosity External Forces Navier-Stokes Model

Euler Equation

Euler equation refers actually to a set of equations named after Leonhard Euler. These equations are used in physical sciences in the field of fluid dynamics. They are also known as Eulerian functions of...

Dimensionality Reduction Techniques Convolutional Neural Network Principle Component Analysis PCA CNN Deep Learning Machine Learning Methods Algorithms

Dimensionality Reduction Techniques

Dimensionality reduction techniques are methods to reduce the dimensionality of a modeling problem. This is very important when working with big data and high-dimensional data sets. Learning from this data is a very challenging...

Physical System Deep Learning Complex Physics Functions Physical Functions Continuous Models Numerical Methods Known Physical Laws Simulations Scales

Physical System

Physical system means that data and variables that are used to describe real world physical systems often take the form of complex physics functions with high dimensionality. Often continuous models are used to describe...

Deep Learning in Physics Data-Driven Inference Temporal Evolution Physical Functions Systems Long Short Term Memory Convolutional Neural Network Fluid Flow

Deep Learning in Physics

Deep learning in Physics refers to the use of deep learning models with big data in context of physical functions or systems. Please refer to our article on describing a physical system for more...