User: teabonng

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teabonng10
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Posts by teabonng

<prev • 20 results • page 1 of 2 • next >
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Comment: C: Neural networks feature importance
... Hi karl.stamm, Can you provide an example on how to adapt Garson's algorithm for multiple neurons? Can I calculate the importances with respect to each neuron instead? Thanks ...
written 2 days ago by teabonng10
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Neural networks feature importance
... Hi everyone, I am using a neural network with two output neurons for my omics data to predict the binary classification of genes. It is important in the study to know the feature importance. I know that the Garson's algorithm and connection weights algorithm are used in neural networks with one hid ...
neural network written 4 days ago by teabonng10 • updated 4 days ago by karl.stamm3.3k
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Comment: C: Data Transformations for machine learning
... Hi Kevin, Thanks for your reply. I have decided to log transform all the features. Then do the standardization so that they have more or less the same range. Then use as input for the neural network. Would this make sense? Thanks, teabonng ...
written 4 weeks ago by teabonng10
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Comment: C: Data Transformations for machine learning
... Hi Wouter, My input features are normalized feature counts based on ChIP-Seq data, which I wish to use for logistic regression. However, the different features have different distributions, and I am new to machine learning and I would like to get insights on whether it is valid to use some of the r ...
written 4 weeks ago by teabonng10
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Data Transformations for machine learning
... Hi, I have multiple features as input for machine learning. My input features are normalized feature counts based on ChIP-Seq data, which I wish to use for logistic regression and neural network. However, the different features have different distributions, and I am new to machine learning and I wo ...
machine learning data transformation written 4 weeks ago by teabonng10
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ChIP-Seq Read Counts
... Hi Everyone, I am very new to ChIP-Seq analysis, but i will be analyzing data from multiple studies. However, some ChIP seq studies do not have Input to compare the distribution of mapped reads, so I cannot do peak calling. In this case, is it common practice to simply get the normalized counts (li ...
chip-seq written 10 weeks ago by teabonng10
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Comment: C: Sam to bowtie native format
... Thank you so much for this. ...
written 10 weeks ago by teabonng10
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Comment: C: Sam to bowtie native format
... Thanks for the replies, now I understand. ...
written 10 weeks ago by teabonng10
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Sam to bowtie native format
... Hi everyone, Does anyone know how to convert .sam files to the native bowtie format? I need this for peak calling using QuEST software for ChIP seq data. Thanks a bunch! teabonng ...
quest chip-seq written 10 weeks ago by teabonng10 • updated 10 weeks ago by h.mon20k
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Comment: C: Hierarchical clustering evaluation
... The output of the dynamictree cut package in R is more than 90 clusters. I am clustering more than 10,000 genes based on their gene expression across various treatments. I cannot check if the genes in the same cluster are different because that is my objective, to learn which genes behave the same ...
written 3 months ago by teabonng10

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