Implemented Time Series Analysis

[RogerAK]

Description

This pull request introduces a new feature for performing linear regression analysis on protein quantification data over time, incorporating metadata with day and time information. The analysis includes the visualization of both actual and predicted intensities over time for a selected protein group.
Key Features:

Data Preparation:

• Merges input data with metadata to include day and time information.
• Converts time into hours.
• Handles missing values with linear interpolation.

Linear Regression Analysis:

• Splits data into training and testing sets.
• Trains a linear regression model on the training data.
• Predicts intensities on both training and testing data.
• Calculates performance metrics: RMSE and R² scores for both training and testing sets.

Visualization:

• Plots actual and predicted intensities over time.
• Differentiates between training and testing data in the plot.
• Visualizes the intensity of the selected protein group, highlighting the difference between actual and predicted values.

Changes

• Added time_series_linear_regression function to perform the analysis.
• Added utility function convert_time_to_datetime to handle day and time conversion.
• Integrated Plotly for interactive visualization of regression results.

[github-actions]

Coverage report

Click to see where and how coverage changed

File	Statements	Missing	Coverage	Coverage (new stmts)	Lines missing
protzilla
run.py
run_helper.py
runner.py
steps.py					315, 321, 325, 327, 331-334
protzilla/data_analysis
differential_expression_mann_whitney.py					263
differential_expression_t_test.py
protein_graphs.py
ptm_analysis.py					115-116, 134-136
time_series_plots.py					61, 79, 106, 115-117, 134, 185
time_series_regression_analysis.py					80, 83, 88, 112, 148-149, 157, 175, 280, 295, 302-304, 320-321, 333-397, 422, 429, 452-454, 527-534, 562, 586, 645, 647-733, 744-745, 763-765, 800-809, 930-969, 1008-1123
protzilla/data_integration
di_plots.py
protzilla/data_preprocessing
outlier_detection.py
peptide_filter.py					70-94, 103-113
transformation.py
protzilla/importing
ms_data_import.py					122, 148-197, 203-213, 221, 243, 338-343, 374
protzilla/methods
data_analysis.py					36, 783-784, 786, 798, 800-804, 809-811, 831-832, 840-843, 859, 868-874, 904-905, 908-911, 926, 935-936, 939-942, 963, 972-973
data_preprocessing.py
protzilla/utilities
transform_dfs.py					29, 54-58, 96-99
ui/main
settings.py
ui/runs
fields.py
views.py					124-128
views_helper.py
ui/runs/forms
custom_fields.py					138-139, 142-143, 150-153, 156-158
data_analysis.py					157, 161-162, 1188-1231, 1247, 1271-1287, 1300, 1341-1362, 1387-1399, 1445-1462, 1546-1593
importing.py					102
Project Total

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