A Template Approach to Text Analysis: Developing and Using Codebooks

A General Inductive Approach for Analyzing Qualitative Evaluation Data

A general inductive approach for analysis of qualitative evaluation data is described. The purposes for using an inductive approach are to (a) condense raw textual data into a b...

fastp: an ultra-fast all-in-one FASTQ preprocessor

Abstract Motivation Quality control and preprocessing of FASTQ files are essential to providing clean data for downstream analysis. Traditionally, a different tool is used for e...

Exploring the Limits of Transfer Learning with a Unified Text-to-Text\n Transformer

Transfer learning, where a model is first pre-trained on a data-rich task\nbefore being fine-tuned on a downstream task, has emerged as a powerful\ntechnique in natural language...

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

In the last few years, the deep learning (DL) computing paradigm has been deemed the Gold Standard in the machine learning (ML) community. Moreover, it has gradually become the ...

fMRIPrep: a robust preprocessing pipeline for functional MRI