Max Nanis

The paper demonstrates that citizen scientists can perform relationship extraction from biomedical abstracts using Mark2Cure, highlighting the importance of accurate named entity recognition.

This paper demonstrates that volunteer citizen scientists can perform named entity recognition in biomedical literature with high accuracy using a web-based platform, offering a scalable alternative to paid microtask platforms.

The paper introduces RASLseqTools, an open-source software package for designing and analyzing RASL-seq experiments, and demonstrates normalization methods for improving reproducibility.