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学生对 LearnQuest 提供的 Capstone Project: Advanced AI for Drug Discovery 的评价和反馈

课程概述

In this capstone project course, we'll compare genome sequences of COVID-19 mutations to identify potential areas a drug therapy can look to target. The first step in drug discovery involves identifying target subsequences of theirs genome to target. We'll start by comparing the genomes of virus mutations to look for similarities. Then, we'll perform PCA to cut down our number of dimensions and identify the most common features. Next, we'll use K-means clustering in Python to find the optimal number of groups and trace the lineage of the virus. Finally, we'll predict similarity between the sequences and use this to pick a target subsequence. Throughout the course, each section will consist of a programming assignment coupled with a guide video and helpful hints. By the end, you'll be well on your way to discovering ways to combat disease with genome sequencing....
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1 - Capstone Project: Advanced AI for Drug Discovery 的 2 个评论(共 2 个)

创建者 Tarek F

Dec 3, 2021

Worst course/specialization I have run into on Coursera. The instructors are not good and material is lacking. It seems they googled some material and tried to put together a specialization that was completely useless. Let's put it this way. Some of the readings they offered in the courses where links to Wikipedia!!!

Frankly, this was a huge waste of time that I paid for.

I am not going to consider LearnQuest in the future and I would recommend that Coursera check the courses and so-called specializations they get paid for carefully before offering them to the students.

If Coursera had a phone number for students/customer services, I would have asked for my money back, but they don't!!! ( I thought it is illegal to get online payments from customers without having a working phone number). So, I will not be wasting more time than what this "LearnQuest" specialization has already wasted for me.

What a rip-off!

创建者 Esteban B

Nov 22, 2021

T​he course can't be completed due to a grading error in the Week 2 assignment that hasn't been fixed for months.