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00:25
1.
index 1
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00:19
2.
Question
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03:27
3.
Sample Acquisition and Nucleic Acid Extraction
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01:37
4.
QuestionThere were 50 µL RNA samples. You added 2 µL RNA sample to 78 µL sterile water and measured the optical density of your sample at a UV wavelength of 260 nm. If the absorbance reading was 0.08, what was the initial amount of your RNA sample?6.4 µg
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02:07
5.
Methods to Check NA Quality1
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00:27
6.
QuestionWhen you check the integrity of mRNA, why do you check the integrity of ribosomal RNA (28S and 18S rRNA)?
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02:00
7.
Methods to Check NA Quality2
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02:49
8.
RIN-RNA Integrity Number
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03:29
9.
Methods to Check NA Quality3
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01:17
10.
Methods to Check RNA Quality4
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00:37
11.
Steps for Microarray Experiment
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00:10
12.
Sample Amplification / Labeling
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00:58
13.
In Vitro Transcription
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00:19
14.
Steps for Microarray Experiment
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00:15
15.
Hybridization & Scanning
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00:54
16.
Steps for Microarray Experiment
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01:43
17.
Visual inspection of array features
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02:48
18.
Box plots consist of boxes with a central line and two tailsCentral line: median of the dataUpper (seventy-fifth percentile, Q3) and lower quartile (twenty-fifth percentile, Q1) Ends of the whiskers:1.5x IQR (interquartile range) Max or min value within 1
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01:39
19.
Examples of Bad Slide Quality
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01:16
20.
QuestionWhat are the advantages of using Illumina bead arrays?
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01:22
21.
Steps for Microarray Experiment
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03:04
22.
Normalization1
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02:48
23.
Normalization2
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04:19
24.
Normalization3
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01:15
25.
Single Channel Normalization and Scaling
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01:33
26.
Summarization
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01:26
27.
Visualization Tools for Microarray Analysis
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01:30
28.
Heat Map and Dendrogram
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01:11
29.
Violin Plot
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02:09
30.
Scatter Plot
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00:23
31.
MA Plot
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04:33
32.
Volcano plot
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03:49
33.
Bar Chart
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02:36
34.
Line Graph
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00:58
35.
Pie Chart
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01:16
36.
Venn Diagram
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00:51
37.
Starburst Plot
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02:47
38.
Visualization of Gene Distribution
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03:19
39.
Visualization of Gene Distribution
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02:29
40.
PCA and MDS
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02:36
41.
MDS (Multidimensional Scaling)Principal Coordinate Analysis (PCoA)
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00:21
42.
Correspondence Analysis (CA)
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00:55
43.
QuestionIf you want to check data quality of microarray experiments, which graph will not be used? Scatter plot of PCAHeat mapBox plotVenn diagram
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00:09
44.
Steps for Microarray Experiment
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03:26
45.
Precision vs Accuracy
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06:28
46.
Confusion Matrix (混淆矩陣)
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01:12
47.
Sensitivity vs Specificity
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01:08
48.
Positive Predictive Value (PPV) vs Negative Predictive Value (NPV)
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00:31
49.
Precision (PPV) vs Recall (Sensitivity)
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02:28
50.
Accuracy Paradox
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01:29
51.
F1 Score
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01:26
52.
Alpha vs Beta value
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02:42
53.
Power as a Function of Alpha and Sample Size
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01:09
54.
Sample Size Calculation
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01:02
55.
How to Decide the Cutpoint?
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03:15
56.
Contradiction Between Sensitivity & Specificity
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02:07
57.
Receiver Operating CharacteristicCurve
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00:34
58.
Receiver Operating CharacteristicCurve
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01:54
59.
Summary of Statistics