Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
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Updated
Apr 7, 2022 - R
Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
first project in C++, tried to build model of Protparam Expassy working source code to analyze the properties of proteins like molecular weight, theoretical pI, extinction coefficient, percentage of charged amino acid and composition.
“A simple yet powerful Password Generator built using pure HTML, CSS, and Vanilla JavaScript. 🔐 It allows users to create strong, random, and secure passwords with customizable options like uppercase, lowercase, numbers, and special characters. Designed with a clean and responsive UI, this project focuses on JavaScript logic, DOM manipulation, and
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