Introduction to Partial Least Squares Discriminant Analysis PLS DA for beginners

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Күн бұрын

In this webinar, graduate student Edwin Caballero offers an introduction on what is partial least squares discriminant analysis (PLS-DA)
PLS-DA is a model that classifies unknown samples in predetermined groups or classes for multivariate data (more than 3 variables).
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CHAPTERS
00:00:00 Intro
00:04:50 How PLS-R Works?
00:13:14 How does PLS classify?
00:25:45 What algorithm does it use?
00:35:49 What do I need and what do I get for PLS-DA?
00:43:19 What are the SIMCA outputs?
00:53:39 How do we evaluate PLS-DA results?
01:05:20 Real-life examples of PLS-DA in use
01:07:43 Where can I use PLS-DA?
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Partial least squares discriminant analysis (PLS-DA) is a statistical method that can be used to analyze and classify complex data sets. PLS-DA combines the techniques of partial least squares regression and linear discriminant analysis, and is often used in the fields of chemometrics and bioinformatics. PLS-DA can be used to identify patterns and relationships in data, and to classify objects or samples based on their characteristics. It is particularly useful for analyzing data with many variables, as it can handle large, multi-dimensional data sets and deal with issues of collinearity. PLS-DA can also be used to visualize data, allowing users to see patterns and trends more easily. Overall, PLS-DA is a powerful tool for analyzing and classifying complex data sets.
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#PLS-DA #chemometrics #multivariate #statistics #research #college #chemistry #introduction #analysis #webinar

Пікірлер: 8

@ccscisac5607 Жыл бұрын

Thank you for your attention! Comments? Suggestions? Recommendations? All options are welcomed!

@remia5 Жыл бұрын

Application of compositional data analysis to proteomics data.

@claudiaazevedo4073 Жыл бұрын

This was a very helpfull lecture however It would be interesting to run code (real time) on r and comment the results of the outputs with real data.

@ccscisac5607 Жыл бұрын

@@claudiaazevedo4073 Thank you for your feedback! A great idea, I will develop a webinar or workshop in the future. - Edwin

@juanjohincapie2213 Жыл бұрын

This is a very helpful video, but I have a question, which is the difference between PLS DA and SIMCA? I mean, when should I use each method? Thanks

@misterlemonpark 6 ай бұрын

For comparing 2 group, we can coded group to +1 and -1. If I have more than 2 group, let say 3 group, how i am going to coded? Please give some examples

@apping_finanzas Ай бұрын

Tengo la misma duda, cómo se puede solucionar?

@zakazkaraoke 9 күн бұрын

Битый час видео ни о чем, на внимательный просмотр ушло двое суток. Пересказ общих фактов о PLS-DA из википедии. Если кто не знал узнает про ложно позитивные, ложно негативные, истинно позитивные, истинно негативные ответы, некоторые числовые характеристики для оценки качества разных моделей, причем с ошибками в формулах. Ссылок на примеры бесплатных программ или готовых скриптов реализующих PLS-DA тут не дается. В конце конкретно упоминается лишь американский спектрометр ATR-FTIR для идентификации "кокаинуума", взрывчатки, и лазерный спектроскоп отпечатков пальцев, видео похоже больше как реклама его возможностей для далеких от математики богатых таможенников.