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zakruti.com » IT - Software » freeCodeCamp.org
Python for Bioinformatics - Drug Discovery Using Machine Learning and Data Analysis

Python for Bioinformatics - Drug Discovery Using Machine Learning and Data Analysis

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Rating: 4.0; Vote: 1
Learn how to use Python and machine learning to build a bioinformatics project for drug discovery. -- Course developed by Chanin Nantasenamat (aka Data Professor). Check out his YouTube channels for more bioinformatics and data science tutorials: https://www.youtube.com/dataprofessor/ and https://www.youtube.com/codingprofessor/ - And Medium blog posts for more data science tutorials https://data-professor.medium.com/ -- Code -- - Parts 1-5 https://github.com/dataprofessor/bioinformatics_freecodecamp/ - Part 6 https://github.com/dataprofessor/bioactivity-prediction-app
Date: 2022-03-14

Comments and reviews: 10


-Data Professor, I have just gotten a job tutoring online, Python, and I am in the middle of promoting and advertising my courses. I have a made a few Youtube videos, very short to promote my courses. I have also developed my own online tutoring company where I can teach Science and Programming. I have the opportunity to buy and AD that may allow -home-schooled- students o sign up for my tutoring services. I was wondering, in your honest opinion, what is the best way to make money by teaching code. Thanks in advance, John
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In the deployed app, you should highlight any significant differences in the removed columns since those parts of the fingerprint could be important for pIC50 prediction. This would clearly identify any targets that fall outside the distribution of the training set so the model prediction may be inaccurate.
Also, what was the purpose of calculating the Lipinsky descriptors if only the PubChem fingerprint was going to be used in the model?

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I have my Bachelors in Biology and have worked in a Microbiology lab for the last 4 years. Im currently learning Python and R though sites like Code Academy...do I have a shot to get into Bioinformatics or any sort of Data Science? I love learning to code and I'm honestly sick of the wet lab life (working from home would be a HUGE bonus for me as well), do I have a realistic shot or will I not even get a call back?
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Hello Professor, I want to work on parameter tuning of 3D Bioprinters before they print, so it will take input as the tissue type /bone type that we want to print and finally I want to predict the best possible combination of printer parameters for the job.-
Please help me from where I can get dataset for 3D bioprinted organs as well as dataset of 3D bioprinters.

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I'm a dentistry student but I love computers as much as I love biology, I also would love to explore the world of clinical research and pharmacovigilance. I think I'd take up bioinformatics in my masters along with my clinical practice, it seems like the best intersection between healthcare and IT.
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its a great video really helpful. at 14:09 you are not able to see other types of standard type variable because youve already entered its filter as ic 50 so it shows only ic50 entries. once you remove filter.standard type[ic50] , youll see array with inhibition, ki, ec 50, kd, activity.
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Hi. I'm trying to follow DataProfessor's course but what order do I watch them? I started with this video but he then refers to a previous video where he showed us how to download data. Is there a place where I can get the recommended order of videos to watch? Thank you so much.
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Thank you professor. It's so heartwarming to have this quality of information shared for free. The best I have seen on Bioinformatics. All my questions answered and opened my eye to the many facets of computational drug modeling and simulation. Thank you once again, Prof.
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When writing the Mann Whitney function why not put it in a for loop to allow for multiple descriptors to be added for each call of the function, this reduced the number of files needed to download and all of the statistical results were in a single file.
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I hate python. I despise it. However I am stuck with it. Somehow, python community developped early math libraries needed with datascience, which make python widespread. I like julia alot. I hope it can turn the tide againts python.
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