27411 Biological Data Analysis and Chemometrics

20:10

Lec 1B: Introduction to Chemometrics, part 1

Lec 1B: Introduction to Chemometrics, part 1

From Michael Clasen Linderoth

8 plays 0
By Jens Chr. Frisvad
18:01

Lec1C: Introduction to Chemometrics, part 2

Lec1C: Introduction to Chemometrics, part 2

From Michael Clasen Linderoth

0 plays 0
By Jens Chr. Frisvad
12:01

Lec 1D: Food example.

Lec 1D: Food example.

From Michael Clasen Linderoth

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PBB example of Sensory (and other) data on frozen peas.
08:26

Lec 1E: QSAR example

Lec 1E: QSAR example

From Michael Clasen Linderoth

1 plays 0
Permeability discrimination of drug candidates.
10:49

Lec1G: Correlation and covariance

Lec1G: Correlation and covariance

From Michael Clasen Linderoth

2 plays 0
Link between multivariate data and simple correlations.
17:31

Lec 1F: Lattin Chapter2

Lec 1F: Lattin Chapter2

From Michael Clasen Linderoth

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A little recap of linear algebra(matrices).
25:18

Principal Component Analysis_1

Principal Component Analysis_1

From Michael Clasen Linderoth

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PCA, first lecture for DTU course 27411
34:49

Principal Component Analysis_2

Principal Component Analysis_2

From Michael Clasen Linderoth

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PCA_part_2, DTU course 27411
19:39

Lec 3A: Exploring the Leslie Salt data

Lec 3A: Exploring the Leslie Salt data

From Michael Clasen Linderoth

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Using R for initial explorative data analysis.
21:01

Lec 3B: Multiple Linear Regression

Lec 3B: Multiple Linear Regression

From Michael Clasen Linderoth

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Basics: The model and approach.
01:41

Lec 3D(part 1): Model validation.

Lec 3D(part 1): Model validation.

From Michael Clasen Linderoth

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Start.
22:07

Lec 3C: Multiple Linear Regression

Lec 3C: Multiple Linear Regression

From Michael Clasen Linderoth

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Computations, Statistical inference and interpretation.
03:44

Lec 3E: Multicollinearity

Lec 3E: Multicollinearity

From Michael Clasen Linderoth

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And a perspective towards the dimension reduction techniques later in the course.
11:49

Lec 3D(part 2): Model validation.

Lec 3D(part 2): Model validation.

From Michael Clasen Linderoth

2 plays 0
Residual plotting and modelling non-linearities and interactions.
16:36

Lec 3F: R-tutorial: MLR in R.

Lec 3F: R-tutorial: MLR in R.

From Michael Clasen Linderoth

1 plays 0
Running MLR, stepwise variable elimination and statistical inference.
20:46

Lec 3G: R-tutorial. MLR in R.

Lec 3G: R-tutorial. MLR in R.

From Michael Clasen Linderoth

0 plays 0
Model Validation: residual plotting and modelling non-linerarities and interactions. Predicting new observations in R.

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