شماره 2  پایتون 81834

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شرح پروژه

سلام 

وقتتون بخیر 

شما پروژه پایتون انجام‌میدین؟ 

البته تا فردا ساعت ۱۲ وقت دارم.  این فایل داده هامه  اینجا با آر انجا شده 

ولی بعدا گفتن با پایتون انجام بدیم 

ولی گراف هایی ک اینجا اومده میخوان  1-Data Preprocess

Imputation of missing values: Replace zeros with a small value

use which method to do this

could also do a compare results with different approaches

Log transformation: base e

scaling

normalizationing: Normalization z-values (Quantil)

Data Filtering: Remove noise and low-quality data points.

2-Statistical Analysis

Multivariate Analysis:

PCA (Principal Component Analysis): Reduce dimensionality and identify patterns.

4. Validation

Biological Replicates: Use independent biological replicates to validate findings.

Technical Replicates: Repeat measurements to ensure reproducibility.

External Validation: Confirm results using different analytical methods or datasets.

5. Reporting and Visualization

Visualization Tools: Use heatmaps, volcano plots, pathway maps, and box plots to visualize data.

Statistical Reporting: Report statistical methods and significance levels clearly.

Data Sharing: Share raw and processed data in repositories like MetaboLights or the Metabolomics Workbench.

? Cluster Profiles / Fold change

PLS-DA (Partial Least Squares Discriminant Analysis): Classify samples and identify discriminant metabolites.

Univariate Analysis:

T-tests: Compare metabolite levels between two groups.

ANOVA: Compare metabolite levels among multiple groups.

Correlation Analysis: Assess relationships between metabolites

3Data Interpretation

Pathway Analysis: Map metabolites to metabolic pathways using tools like MetaboAnalyst, IPA (Ingenuity Pathway Analysis), or KEGG pathway mapper.

Biological Interpretation: Relate changes in metabolite levels to biological functions and disease states تا شماره ۲ رو تا فردا ساعت ۱۳ 

ولی بقیشو تا هفته بعد 

6018*

مهارت ها و تخصص های مورد نیاز

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