27411 Biological Data Analysis and Chemometrics

20:10

Lec 1B: Introduction to Chemometrics, part 1

Lec 1B: Introduction to Chemometrics, part 1

From podcast_bulk A year ago

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By Jens Chr. Frisvad
20:10

Lec 1B: Introduction to Chemometrics, part 1

Lec 1B: Introduction to Chemometrics, part 1

Lec 1B: Introduction to Chemometrics, part 1

podcast_bulk A year ago

1 views 0
18:01

Lec1C: Introduction to Chemometrics, part 2

Lec1C: Introduction to Chemometrics, part 2

From podcast_bulk A year ago

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By Jens Chr. Frisvad
18:01

Lec1C: Introduction to Chemometrics, part 2

Lec1C: Introduction to Chemometrics, part 2

Lec1C: Introduction to Chemometrics, part 2

podcast_bulk A year ago

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12:01

Lec 1D: Food example.

Lec 1D: Food example.

From podcast_bulk A year ago

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PBB example of Sensory (and other) data on frozen peas.
12:01

Lec 1D: Food example.

Lec 1D: Food example.

Lec 1D: Food example.

podcast_bulk A year ago

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08:26

Lec 1E: QSAR example

Lec 1E: QSAR example

From podcast_bulk A year ago

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Permeability discrimination of drug candidates.
08:26

Lec 1E: QSAR example

Lec 1E: QSAR example

Lec 1E: QSAR example

podcast_bulk A year ago

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17:31

Lec 1F: Lattin Chapter2

Lec 1F: Lattin Chapter2

From podcast_bulk A year ago

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A little recap of linear algebra(matrices).
17:31

Lec 1F: Lattin Chapter2

Lec 1F: Lattin Chapter2

Lec 1F: Lattin Chapter2

podcast_bulk A year ago

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10:49

Lec1G: Correlation and covariance

Lec1G: Correlation and covariance

From podcast_bulk A year ago

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Link between multivariate data and simple correlations.
10:49

Lec1G: Correlation and covariance

Lec1G: Correlation and covariance

Lec1G: Correlation and covariance

podcast_bulk A year ago

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25:18

Principal Component Analysis_1

Principal Component Analysis_1

From podcast_bulk A year ago

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PCA, first lecture for DTU course 27411
25:18

Principal Component Analysis_1

Principal Component Analysis_1

Principal Component Analysis_1

podcast_bulk A year ago

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34:49

Principal Component Analysis_2

Principal Component Analysis_2

From podcast_bulk A year ago

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PCA_part_2, DTU course 27411
34:49

Principal Component Analysis_2

Principal Component Analysis_2

Principal Component Analysis_2

podcast_bulk A year ago

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19:39

Lec 3A: Exploring the Leslie Salt data

Lec 3A: Exploring the Leslie Salt data

From podcast_bulk A year ago

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Using R for initial explorative data analysis.
19:39

Lec 3A: Exploring the Leslie Salt data

Lec 3A: Exploring the Leslie Salt data

Lec 3A: Exploring the Leslie Salt data

podcast_bulk A year ago

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21:01

Lec 3B: Multiple Linear Regression

Lec 3B: Multiple Linear Regression

From podcast_bulk A year ago

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Basics: The model and approach.
21:01

Lec 3B: Multiple Linear Regression

Lec 3B: Multiple Linear Regression

Lec 3B: Multiple Linear Regression

podcast_bulk A year ago

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01:41

Lec 3D(part 1): Model validation.

Lec 3D(part 1): Model validation.

From podcast_bulk A year ago

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Start.
01:41

Lec 3D(part 1): Model validation.

Lec 3D(part 1): Model validation.

Lec 3D(part 1): Model validation.

podcast_bulk A year ago

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22:07

Lec 3C: Multiple Linear Regression

Lec 3C: Multiple Linear Regression

From podcast_bulk A year ago

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Computations, Statistical inference and interpretation.
22:07

Lec 3C: Multiple Linear Regression

Lec 3C: Multiple Linear Regression

Lec 3C: Multiple Linear Regression

podcast_bulk A year ago

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03:44

Lec 3E: Multicollinearity

Lec 3E: Multicollinearity

From podcast_bulk A year ago

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And a perspective towards the dimension reduction techniques later in the course.
03:44

Lec 3E: Multicollinearity

Lec 3E: Multicollinearity

Lec 3E: Multicollinearity

podcast_bulk A year ago

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11:49

Lec 3D(part 2): Model validation.

Lec 3D(part 2): Model validation.

From podcast_bulk A year ago

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Residual plotting and modelling non-linearities and interactions.
11:49

Lec 3D(part 2): Model validation.

Lec 3D(part 2): Model validation.

Lec 3D(part 2): Model validation.

podcast_bulk A year ago

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16:36

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

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

From podcast_bulk A year ago

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Running MLR, stepwise variable elimination and statistical inference.
16:36

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

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

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

podcast_bulk A year ago

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20:46

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

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

From podcast_bulk A year ago

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Model Validation: residual plotting and modelling non-linerarities and interactions. Predicting new observations in R.
20:46

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

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

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

podcast_bulk A year ago

0 views 0

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