MSpectraAI
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Import Data
Mass Spectra Information
SWATH Extraction
All Data Integration
Deep Learning Model
Model Results
Import Raw Data
1. Peaks data:
File format:
.mzXML
.mzML
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2. Samples information data:
File format:
.xlsx
.xls
.csv/txt
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1. Raw files:
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2. Samples information data:
Histograms parameter
breaks:
MS
MSMS
Spectra Number
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Window Size:
MS Scope:
MS number filter:
MSMS Scope:
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MS 2D Map
MS Intensity Density
MSMS 2D Map
MSMS Intensity Density
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Map
Data
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Retention Time Index:
M/Z Window Index:
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Map
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Please Attention: This step is a little time-consuming, please be patient and take a cup of coffee or tea~~^_^
MS Data
MSMS Data
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Data Preview:
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Data Preview:
Type your Deep Learning Model:
keras_model_sequential() %>% layer_dense( units = 128, kernel_initializer = 'uniform', activation = 'relu', input_shape = 400) %>% layer_dropout(rate = 0.2) %>% layer_dense( units = 64, kernel_initializer = 'uniform', activation = 'relu') %>% layer_dropout(rate = 0.2) %>% layer_dense( units = 3, kernel_initializer = 'uniform', activation = 'softmax') %>% compile( optimizer = 'rmsprop', loss = 'categorical_crossentropy', metrics = c('accuracy') )
Model Summary
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Results type:
MS
MSMS
epochs:
batch size:
Confusion Matrix
Heatmap
ROC Curve
F1 Score
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1. Matrix:
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2. Accuracy Rate:
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Two Class labels:
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