# Locally Weighted Scatter Plot Smoother (Lowess) Regression Definition and Explanation PDF Download

Learn *Locally Weighted Scatter Plot Smoother (Lowess) Regression* definition in bioinformatics with explanation to study “What is Locally Weighted Scatter Plot Smoother (Lowess) Regression”. Study locally weighted scatter plot smoother (lowess) regression explanation with bioinformatics terms to review bioinformatics course for online degree programs.

## Locally Weighted Scatter Plot Smoother (Lowess) Regression Definition:

Method performs a locally weighted linear fitting of the intensity-ratio data and calculates the differences between the curve-fitted values and experimental values.

Essential Bioinformatics by Jin Xiong

## Locally Weighted Scatter Plot Smoother (Lowess) Regression Explanation:

It is a statistical approachwhich is used in regression analysis that shows the relationship between set of variables by drawing a smooth line through scatterplot.

### Keep Learning Bioinformatics Explanations

#### What is Markov Chain?

Markov chain is the mathematical model that tells about the transitions from one state to any other state with certain ...

#### What is Position Specific Scoring Matrix?

The Position Specific Scoring Matrix (PSSM) is a matrix obtained from the probability of multiple aligned sequences that are similar ...

#### What is Phylogram?

A phylogram is an evolutionary tree in which the branch lengths gives information about the amount of evolutionary change. ...

#### What is Node?

In a phylogenetic tree, the starting point of branch at which more than one branches meet and the ending point ...

#### What is Quartets?

A quartet is an unrooted tree that has number of subsets of four leaves. The quartets analysis describes a lot ...

#### What is Masking?

The method used to eliminate the ambigous part of sequence from both the query sequence and the sequences already found ...