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Hello,
When running insitutype() on my data, I get the following error in phase 4:
`phase 4: classifying all 405339 cells
Error in .local(x, ...) : Cells with 0 counts were found. Please remove.…
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Hi,
Thank you for creating such a wonderful tool! I am currently working with scRNA-seq data consisting of 8 million cells and I am particularly interested in analyzing 100 specific genes. I would …
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Is there any way to do semi-supervised clustering with partially labeled data? Or to manually remove an element from a cluster and then re-cluster?
thanks
Scott
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I get a different set of representative digits from those in the notebook. Labelling with
y_representative_digits = np.array([
0, 1, 3, 2, 7, 6, 4, 6, 9, 5,
1, 2, 9, 5, 2, 7, 8, 1, 8, 6…
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I need help understanding how to implement the approach presented in
https://www.aimspress.com/article/doi/10.3934/mbe.2020192?viewType=HTML
In Table 1, the authors suggest an initial LDA training…
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Suggested list of courses would be:
- An introduction to deep learning **
- How to train a neural network
- Regularisation in neural networks
- Deep Bayesian neural networks
- Conv…
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#### Description
Hi, is there going to be some metric learning algorithm on the semi-supervised direction, utilising both labels/pairwise constraints and unlabelled data to derive the distance metr…
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For example, when using KMeans, input some data that already has labels to assist in clustering or initialize the `cluster_centers_` ?
Thanks and look forward to your reply.
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Can someone provide an explanation, with examples, of supervised versus unsupervised learning/clustering/classification? Is there such a thing as semi-supervised learning?
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Why the "save_feature" process saves the features of the val set, and then the "clustering" process also uses these features. But the "semi-supervised" process requires the clustering results of the l…