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baumwelch_compbio_22

Baum-Welch algorithm to train emission and transmission probabilities of a HMM to detect GpC-Islands

jannibatsilas

Config files for my GitHub profile.

mcbdd22_api

Offline activities of Module II Please use your favourite programming language (shell scripts, python, R, for instance) and APIs (Application Programming Interfaces) of databases to perform following operations. Submit your code. 1. Retrieve all approved drugs from the ChEMBL database, sort them by approval year and name (a Python example is here; documentations of the ChEMBL API can be found here); 2. For each approved drug since 2012 that you identified in step (1), retrieve a list of UniProt accession numbers, namely protein targets associated with the drug; 3. For each protein with a UniProt accession number that you identified in step (2), retrieve UniProt keywords associated with it. You can use the UniProt API, documented here. Python and R clients are also available.

mcbdd22_bayes

Please share a piece of code that visualizes the probability that Fred is indeed infected as the dependent variable, with the prevalence (1% in the example above, which takes any real-number value between 0.001% to 50%) and the specificity (99% in the example above, which takes values 99%, 99.9%, and 99.999%) as independent variables. For simplicity, we fix the sensitivity at 99%. Visualize the results if possible, and use integers to check and explain your results. Use any programming language that you prefer.

mcbdd22_factoranalysis

The task: question-guided learning of factor analysis. Use your favorite literature programming tools (i.e. Rmarkdown/Jupyter Notebook) to investigate the topic of factor analysis. Answer the questions below.

pinetime

Firmware for Pinetime smartwatch written in C/C++ and based on FreeRTOS

proginbio

Project Repository for the last Project of the Lecture series Programming in Bioinformatics

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