Zhila Esna Ashari

2PUBLICATIONS
0CO-AUTHORS
Deep learningIndustrial molecular engineering of nucleic acids and proteins
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Publications (2)

|Jan 26, 2019
Using an optimal set of features with a machine learning-based approach to predict effector proteins for Legionella pneumophila.

Zhila Esna Ashari, Kelly A Brayton, Shira L Broschat

|May 10, 2018
An optimal set of features for predicting type IV secretion system effector proteins for a subset of species based on a multi-level feature selection approach.

Zhila Esna Ashari, Nairanjana Dasgupta, Kelly A Brayton

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