Build a multi-functional app with good memory management and avoid memory leak

Photo by Adem AY on Unsplash

Now, let’s dive…


3 Tips on how to train machine learning models efficiently when your data is noisy and mislabeled…

Photo by Alex Chumak on Unsplash


Simple tutorial using biopython library to analyze the SARS-CoV-2’s genome in python.

SARS-CoV-2's genome analysis with biopython. Created with BioRender.com [Image by Author]

Materials and methods:

  • Download the genome file from the kaggle dataset: SARS-CoV-2 genbank file. (NCBI accession number: NC_045512)
  • SARS-CoV-2 genome analysis was carried with Biopython and DNA features viewer libraries.
  • PSI-BLAST search was used to compare our SARS-CoV-2 proteins with the SARS and Bat coronavirus proteins.

1- SARS-CoV-2 genetic information:


A summary of the Mechanisms of action (MoA) prediction competition on kaggle where we used deep learning algorithms to predict the MoA of new drugs.

Figure 1. Overview (1) Human cells are treated with a drug. (2) Gene expression and cell viability measurements. (3) The data is fed to the neural network. (4) the NN predicts if a drug has a MoA or not. [Image by Author]

1- Dataset:

Amin Yamlahi

Bioengineer | Data scientist | Kaggle competition expert (https://www.kaggle.com/amiiiney)

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