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#### Description
This follows #11526, regarding some sometimes unexpected behaviour: that LDA can sometimes truncate the `scalings_` (and the output of transform), overwriding in a sense what the use…
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Before diving into pose estimation metrics, it would be wise to:
a. QC our current behavioral measures (pupil, running, and licking)
b. Perform descriptive analysis to visualize our these metrics chan…
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PCA是機器學習中的一個方法 稱作降維，顧名思義就是降低維度。
PCA 雖然可以用作降維, 不過他的意思是主成分分析吧? Principal components analysis
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Hello,
I've been following the Joint RNA and ATAC analysis: 10x multiomic tutorial on the Stuart Lab website to process output from the 10X Genomics Cellranger ARC pipeline. I've been trying to run…
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I am going to send this also as an e-mail so it can go also to Mike and Patrick and also Alex Riba (from SSD).
Steve Kogo did the importing of SSTs some time ago. There remains a small bug there -…
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This is usually where we try and insist on the necessary pre-requisites explicitly.
For this lesson it might also be the opportunity for providing links to background material which are needed.
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- Principal Component Analysis (PCA)
- Linear Discriminant Analysis (LDA) also known as Fisher's LDA
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Refactoring the oncoscape core (14 dec 2015)
These notes propose some simple changes to Oncoscape in order to create a more flexible server. The principal change is the use of [the Factory Pattern](…
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```python
from sklearn import datasets
from sklearn.decomposition import PCA
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
iris = datasets.load_iris()
X = iris.data
y …
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Hi B,
I'm trying to generate the pca and from doing salmon i have a gene.counts.matrix and an isoform.counts.matrix.
im trying to execute
% $TRINITY_HOME/Analysis/DifferentialExpression/Pt…