Project 2: Machine Learning for Genomics

[kipkurui]

Briefly comment on this issue with reasons why you are interested in this mini-project.

[Nyasita]

This is my first choice. I am interested in joining this mini-project because, besides my great interest in machine learning, I would also like to involve myself in this in readiness for my main research project since I would like to incorporate aspects of Machine Learning into it. This will therefore further enrich my skill set and allow me to practice the courses i have been undertaking on kaggle.

[kenmurithi]

This is my first choice. I am interested in this project for a couple of reasons.

First, I am currently enrolled in the kaggle 30 days challenge competition, and the training data sets used were more of a "house price prediction dataset". Based on this, I would like to switch gears to apply the acquired knowledge in the biological field, and this project suits my needs by incorporating the biological dataset.

Second, in a few weeks, I will be working on the main project (Comparative elucidation of transcriptional regulation of key genes in Glossina), a project that relies heavily on machine learning knowledge and skills. Through this project, I see a perfect chance to sharpen my machine learning skills, more specifically on feature engineering and data visualization, which has been a stumbling block to me.

Thanks

[hesbornomwandho]

I have great passion to cement my skills in application of machine learning for disease modelling and its application in disease discovery.i did enroll for kaggle 30 days challenge competition along other tutorials and this has enabled me to gain tremendous insights in use of machine learning in making prediction that mimics real world occurrence ie disease patterns .

My Msc project is centered on application of machine learning for detection of blast disease in finger millets, therefore miniproject will enable me to sharpen my skills on building and developing a high throughput phenotyping algorithm(model) in my project.

Therefore this is a great chance for me to explore aspects of model validation, feature engineering ,explanatory data analysis and a justification why a should use one model over the other ie why i would use Artificial neural networks model to others

[Ruth-Moraa]

I'm currently doing my project, and one of the objectives will require me to develop a pipeline based on incorporation of bioinformatics tools. Its proposed I use supervised and unsupervised machine learning as part of the development of the pipeline. I would be glad to undertake the mini-project and further enhance my skills in the same.

[sonibk]

This is my first choice .I would love to do a project on machine learning as it will be a great boost to my project. I will be dealing with identifying biomarkers of Coma of unknown cause in order to improve diagnosis and issuing of drugs by healthcare workers ... of which meningitis and cerebral malaria are part of the causes. When I identify some of the other causes I plan to use machine learning to create a model that can predict which cause a coma is from. (probably a classification kind of problem ) could be supervised based on the data we have or unsupervised to identify patterns that are not yet captured in the data. I believe that getting this mini project will go a long way in helping me achieve this objectives