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Heinzel CS, Baumdicker F, Pfafffelhuber P. Revealing the range of maximum likelihood estimates in the admixture model. bioRxiv. 2024:2024-10.

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CRC-1597-Small-Data/Flat-Likelihood-in-the-Admixture-Model

 
 

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Usage

After installing dependencies using pip install -r requirements.txt, either use the command line tool, e.g.

python emalam.py --structure_filename Example_Input/CEU_IBS_TSI_enhanced_corr_K3_f --out out.txt out.json --fun entropy --min 

or the graphical version

streamlit run EMALAM.py

which is displayed in your browser. Another online version is available under xxx. The code is tested with python 3.12.

which is displayed in your browser. Another online version is available under https://flat-likelihood-in-the-admixture-model-p4vvpwxjdtteu3prahatyj.streamlit.app/.

User Choices

The choices of the user are described in EMALAM_Manual.pdf.

Depiction of the Results

To depict the results, you can use the Code Create_Figures.py. This plots the estimated IAs as a bar plot as usually done with STURTCURE results.

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Heinzel CS, Baumdicker F, Pfafffelhuber P. Revealing the range of maximum likelihood estimates in the admixture model. bioRxiv. 2024:2024-10.

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