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Articles by Miri Trope
Questions you should ask AI-based drug discovery companies
When I first heard that there is an effort to discover drugs through machine learning methods, I wasso enthusiastic by the thought that AI could suggest new drug compounds that I immediately put on my data scientist hat, ready to apply some cool deep learning methods (especially GAN, I admit :-) in this field.
Harnessing the power of transfer learning for medical image classification
image source — https://unsplash.com/@bacila_vlad This is my first Medium article! (Yay!!!) The project is based on my capstone project for my master’s in data science. I had a lot of fun and I learned so much. I would love to here your feedback on this project if you have some free time. You can find the complete project here: https://github.com/ryancburke/blindness_detection A quick PubMed search for artificial intelligence revealed more than 15,000 scientific papers published last year.
Learn How Neural Networks Learn
Image by Gerd Altmann from Pixabay. Yesterday, I attempted to clean my perpetually growing inbox. A terrifying task indeed. Normally, answering my emails takes forever because I’d have to think of how to compose them juuuust right. Working from my Gmail browser tab though, I didn’t have to. The perfect answers were simply offered to me. Screenshot from my Gmail. Is it just me, or does seeing these pre-formed answers ready to go throw you off? They’re perfectly appropriate responses, if impersonal.
An Architectural Tour Across Various Neural Networks Corresponding to Ten Revolutionary Challenges in Molecular Biology Modeling
Life-sciences problems solved by utilizing the power of neural network architectures Architectural human-made wonders inspired by nature. St. Peter’s Square, Italy. @ Pexels As a data scientist, have you ever been asked: “does deep learning mimic the brain?” At this point, you are probably going red, as you wonder what and how to respond.
Maximizing BERT model performance
An approach to evaluate a pre-trained BERT model to increase performance Figure 1. Training pathways to maximize BERT model performance. For application domains where entity types — people, location, organization etc. are the dominant entity types, training pathways 1a-1d would suffice.
30 Examples to Master Pandas
A comprehensive practical guide for learning Pandas Photo by Heng Films on Unsplash Pandas is a widely-used data analysis and manipulation library for Python. It provides numerous functions and methods that expedite the data analysis and preprocessing steps. Due to its popularity, there are lots of articles and tutorials about Pandas. This one will be one of them but heavily focusing on the practical side. I will do examples on a customer churn dataset that is available on Kaggle.
The Circle of Viral Life
On the Genetic Similarity During Cross-Species Transmission This post is a short version of my professional article. An illustration of human and nonhuman animal on SARS-CoV-2 structure (drawn by the author) During my journey into the world of genetic research, I found viruses to be fascinating, even encouraging in a sense.
The Circle of Viral Life: On the Genetic Similarity During Cross-Species Transmission
Focusing on two families, four viruses: Coronavirus (MERS and SARS viruses) and Influenza A (H1N1 and H3N2 viruses) Figure: An illustration of human and nonhuman animal on SARS-CoV-2 structure During my journey to the world of genetic exploration, I found viruses to be very interesting, even encouraging in a sense.
Bridging the Gap Between Genetics and Neural Networks
Building and Analysing Neural Networks on Genetic Data An Illustration of Merging a Neural Network (yellow) in DNA Double Helices (aligned) I recently conducted research work on genetic sequences. The main question that occupied my mind about this was: “which is the easiest suggested neural network available for this purpose that is most compatible with genetic data?” (clue: there is not a lot).
Hacking the Genetics of Viruses
The Pursuit of Viral DATA Illustration of DNA double helixes and COVID-19 structures Remember when Will Smith in the movie “The Pursuit of Happiness” fought for his life to bring some money to his family? It’s no different here, in order to have a job, you need: DATA Yes, data it’s all that matters.
Studying the Genetics of COVID-19
This blog presents the necessary background on biological aspects, a brief literature review and the sorts of data relevant to conducting quantitative research in this topic. If you have decided to conduct research regarding the genetics of the virus (COVID-19), after a brief literature review, you are most likely to discover The National Center for Biotechnology Information NCBI with its impressively large-scale bank of genes.
Bridging the Gap Between Genetics and Neural Networks
Quantitative Research The Tower Bridge I recently conducted research work on genetic sequences. The main question that occupied my mind for this was: “which is the easiest suggested neural network available for this purpose that is most compatible with genetic data?” (clue: there is not a lot). After much literature review, I discovered that the most practical and accessible work related to this took place in Yoshua Bengio’s lab, under the title of: Diet network.
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