Similar articles

• Evaluating Computational Gene Ontology Annotations.

  Škunca N, Roberts RJ, Steffen M. Škunca N, et al. Methods Mol Biol. 2017;1446:97-109. doi: 10.1007/978-1-4939-3743-1_8. Methods Mol Biol. 2017. PMID: 27812938
• Ontology-Based Prediction and Prioritization of Gene Functional Annotations.

  Chicco D, Masseroli M. Chicco D, et al. IEEE/ACM Trans Comput Biol Bioinform. 2016 Mar-Apr;13(2):248-60. doi: 10.1109/TCBB.2015.2459694. IEEE/ACM Trans Comput Biol Bioinform. 2016. PMID: 27045825
• GOAnnotator: linking protein GO annotations to evidence text.

  Couto FM, Silva MJ, Lee V, Dimmer E, Camon E, Apweiler R, Kirsch H, Rebholz-Schuhmann D. Couto FM, et al. J Biomed Discov Collab. 2006 Dec 20;1:19. doi: 10.1186/1747-5333-1-19. J Biomed Discov Collab. 2006. PMID: 17181854 Free PMC article.
• Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation.

  Tajbakhsh N, Jeyaseelan L, Li Q, Chiang JN, Wu Z, Ding X. Tajbakhsh N, et al. Med Image Anal. 2020 Jul;63:101693. doi: 10.1016/j.media.2020.101693. Epub 2020 Apr 3. Med Image Anal. 2020. PMID: 32289663 Review.
• Learning in Virtual Reality: Bridging the Motivation Gap by Adding Annotations.

  Vogt A, Albus P, Seufert T. Vogt A, et al. Front Psychol. 2021 Mar 24;12:645032. doi: 10.3389/fpsyg.2021.645032. eCollection 2021. Front Psychol. 2021. PMID: 33841282 Free PMC article.