reverse chronological order about awesome-deepbio HOT 5 OPEN

I think @skyfallen 's idea is good.
If it is difficult to break down all articles into specific subset. How about add '#tag' things on the end of each item?? like 'CNN, RNA binding'.

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I think it is a nice idea, plus I wanted also to propose to break down the list into subsets, e.g. medical imaging, DNA & RNA binding, gene expression etc. They all could be in reverse chronological order as @sahilseth mentioned, so that it would be easier to check a specific field for updates. Here are few examples: https://github.com/terryum/awesome-deep-learning-papers or https://github.com/songrotek/Deep-Learning-Papers-Reading-Roadmap.

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@iron-lion I think Subsets work but they don't fix the overall problem of sorting. I think we might be able to break it down into the following categories:

• Bioinformatics (Sequencing tech, protein folding prediction, GWAS)
• Medical Imaging
• Bio-Signal Analysis (I'm not sure if we have this already)
• Neuroscience
• Oncology

We can then add tags to them (CNN, RNN, LSTM etc) based on what model was used to help people search. This could be potentially high reward! What do you think?

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I like reverse chronological order idea, common list of papers helps noticing newest papers even if they're not in my category of interest. And I think usage of tags would be great solution for breaking down papers by category, DL models, etc., because they allow one-to-many relationship. Since many papers can fall in multiple categories, category itself can be a type of tag, e.g. paper on analysis of breast cancer images can have cat:oncology and cat:imaging category tags + model:cnn and model:lstm model tags all the same time. This will allow effective filtering when looking for specific things.

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I agree to @alxndrkalinin tags and rev. order make sense. PRs are welcome :)

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