Computational fluid dynamics

Marker-and-cell method

The marker-and-cell method is commonly used in computer graphics to discretize functions for fluid and other simulations. It was developed by Francis Harlow and his collaborators at the Los Alamos National Laboratory. (Wikipedia).

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Linear regression

Linear regression is used to compare sets or pairs of numerical data points. We use it to find a correlation between variables.

From playlist Learning medical statistics with python and Jupyter notebooks

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See More With MRI

A team of researchers have found a way to use MRI to track two different genes, in two colors.  Join our YouTube channel by clicking here: https://bit.ly/3asNo2n Find us on Instagram: https://bit.ly/3PM21xW Find us on Facebook: https://bit.ly/3t2Huvb Find us on Twitter: https://bit.ly/3wQ

From playlist Health Chat

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Immunofluorescent Imaging, Nanoparticle Systems and Preparing NHS Fluorescein

Since the invention of the microscope, we've been looking for better and better ways to see into the microscopic world. At first we used simple dyes to colour particular parts of a cell to make the pieces more clear. But as time went on we demanded something better. Enter immunofluorescent

From playlist Biology and Genetics

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Pedro Ballester: ​Precision and recall oncology: combining multiple gene mutations for...

Abstract: Cancer patients often respond differently to the same treatment. Precision oncology aims at predicting which treatments will be effective on a given patient. Such predictive biomarkers of drug response typically take the form of a particular somatic mutation. However, lessons fro

From playlist Mathematics in Science & Technology

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Kim-Anh Lê Cao: Matrix factorisation techniques for data integration

Gene module detection methods aim to group genes with similar expression profiles to shed light into functional relationships and co-regulation, and infer gene regulatory networks. Methods proposed so far use clustering to group genes based on global similarity in their expression profiles

From playlist Probability and Statistics

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Research Methods 1: Sampling Techniques

In this video, I discuss several types of sampling: random sampling, stratified random sampling, cluster sampling, systematic sampling, and convenience sampling. The figures presented are adopted/adapted from: https://www.pngkey.com/detail/u2y3q8q8e6o0u2t4_population-and-sample-graphic-de

From playlist Research Methods

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2 Sample t Test v Paired t Test

Identifying the difference between situations when a 2-sample t Test is appropriate and when a paired t Test is appropriate, including the recognition of paired dependent data versus independent samples.

From playlist Unit 9: t Inference and 2-Sample Inference

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Types of Matrices and Matrix Addition

Alright, so we know what matrices are and we can use them to solve systems of linear equations, but we also have to do algebra with them! Let's start with the simplest operation of all, let's learn how to add two matrices together. Watch the whole Mathematics playlist: http://bit.ly/ProfD

From playlist Mathematics (All Of It)

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Hierarchical Modeling of High-dimensional Human Immuno-phenotypic Diversity by Saumyadipta Pyne

DISCUSSION MEETING : MATHEMATICAL AND STATISTICAL EXPLORATIONS IN DISEASE MODELLING AND PUBLIC HEALTH ORGANIZERS : Nagasuma Chandra, Martin Lopez-Garcia, Carmen Molina-Paris and Saumyadipta Pyne DATE & TIME : 01 July 2019 to 11 July 2019 VENUE : Madhava Lecture Hall, ICTS, Bangalore

From playlist Mathematical and statistical explorations in disease modelling and public health

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Statistical challenges with single cell RNA-Seq technologies - Rafael Irizarry

Virtual Workshop on Missing Data Challenges in Computation, Statistics and Applications Schedule Topic: Statistical challenges with single cell RNA-Seq technologies Speaker: Rafael Irizarry Date: September 10, 2020 For more video please visit http://video.ias.edu

From playlist Mathematics

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Naotoshi Nakamura - LAVENDER extracts individual variability...

Naotoshi Nakamura - LAVENDER extracts individual variability in the response to seasonal influenza vaccination The human immune system is known to be highly variable among individuals, but it is not well understood how the variability changes over time, especially when faced with externa

From playlist From Molecules and Cells to Human Health : Ideas and concepts

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Su-In Lee: "Interpretable Machine Learning for Precision Medicine"

Computational Genomics Winter Institute 2018 "Interpretable Machine Learning for Precision Medicine" Su-In Lee, University of Washington Institute for Pure and Applied Mathematics, UCLA March 2, 2018 For more information: http://computationalgenomics.bioinformatics.ucla.edu/programs/201

From playlist Computational Genomics Winter Institute 2018

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Dana Pe’er, Columbia University - Stanford Big Data 2015

Bringing together thought leaders in large-scale data analysis and technology to transform the way we diagnose, treat and prevent disease. Visit our website at http://bigdata.stanford.edu/.

From playlist Big Data in Biomedicine Conference 2015

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Dana Pe'er: "Having fun with single-cell RNA-seq: imputation and manifolds"

Computational Genomics Summer Institute 2017 Research Talk: "Having fun with single-cell RNA-seq: imputation and manifolds" Dana Pe'er, Sloan Kettering Institute Institute for Pure and Applied Mathematics, UCLA July 10, 2017 For more information: http://computationalgenomics.bioinformat

From playlist Computational Genomics Summer Institute 2017

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Excel Statistical Analysis 12: Percentile, Quartile, Percentile Rank and Rank Functions & Algorithms

Download Excel File: https://excelisfun.net/files/Ch03-ESA.xlsm Learn about calculating percentiles, quartiles, percentile rank and rank. Lean about two different algorithms for the percentile calculation. Learn about how to use eight different Excel built-in functions: ROWS, PERCENTILE.EX

From playlist Excel Statistical Analysis for Business Class Playlist of Videos from excelisfun

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Crust of Rust: Send, Sync, and their implementors

This time we go over the Send and Sync marker traits from the standard library, as well as some of the most important implementors (and non-implementors) of them. You can find the nomicon entry for Send/Sync here: https://doc.rust-lang.org/nomicon/send-and-sync.html. Live version with cha

From playlist Crust of Rust

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Extracting Spider/Bacteria DNA Using Columns - Spider Silk Step 1

Go to http://ow.ly/vjyZ30n4UsI to start your free trial of the Great Courses Plus today! _________________________________________________________________ DNA extraction is easily one of the most common procedures in a genetics laboratory. Maybe we want to isolate a new gene from some orga

From playlist Biology and Genetics

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Decoding Epigenetic programs governing tumor specific T cell dysfunction... - Christina Leslie

Mathematical Methods in Cancer Evolution and Heterogeneity Workshop Title: Decoding Epigenetic programs governing tumor specific T cell dysfunction and therapeutic reprogrammability Speaker: Christina Leslie Affiliation: MSKCC Date: June 1, 2017 For more videos, please visit http://video

From playlist Mathematical Methods in Cancer Evolution

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Visualizing high-dimensional biological data with Clustergrammer-Widget in the Jupyter Notebook

Visualizing high-dimensional biological data with Clustergrammer-Widget in the Jupyter Notebook Nicolas Fernandez (Icahn School of Medicine at Mount Sinai) Biological data and other data collected from complex systems can have tens of thousands of variables that interact nonlinearly. Inte

From playlist JupyterCon in New York 2018

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Learning the One Sample t Test by Hand with Excel (10-3)

To really understand the fundamentals of statistics, it is helpful to calculate a one-sample t test by hand using formulas. To make the calculations easier, we use Excel for the math. We will use the five steps of hypothesis testing and Student's t table, to learn the test. This example us

From playlist WK10 One Sample t Tests - Online Statistics for the Flipped Classroom

Related pages

Level-set method | Immersed boundary method | Francis H. Harlow | Volume of fluid method