BMC Research Notes publishes contributions from across all scientific and clinical disciplines, including computer science, informatics and machine learning.
We invite you to explore this selection of research note and data note articles on the subject below.
This page was last updated on 15 March 2021.
GrapHi-C: graph-based visualization of Hi-C datasets
Kimberly MacKay, Anthony Kusalik & Christopher H. Eskiw
BMC Research Notes 11, 418 (2018)
Crowdsourced dataset to study the generation and impact of text highlighting in classification tasks
Jorge Ramírez, Marcos Baez, Fabio Casati & Boualem Benatallah
BMC Research Notes 12, 820 (2019)
Treehouse: a user-friendly application to obtain subtrees from large phylogenies
Jacob L. Steenwyk & Antonis Rokas
BMC Research Notes 12, 541 (2019)
BreCaHAD: a dataset for breast cancer histopathological annotation and diagnosis
Alper Aksac, Douglas J. Demetrick, Tansel Ozyer & Reda Alhajj
BMC Research Notes volume 12, Article number: 82 (2019)
Shiny-Seq: advanced guided transcriptome analysis
Zenitha Sundararajan, Rainer Knoll, Peter Hombach, Matthias Becker, Joachim L. Schultze & Thomas Ulas
BMC Research Notes 12, 432 (2019)
Image set for deep learning: field images of maize annotated with disease symptoms
Tyr Wiesner-Hanks, Ethan L. Stewart, Nicholas Kaczmar, Chad DeChant, Harvey Wu, Rebecca J. Nelson, Hod Lipson & Michael A. Gore
BMC Research Notes 11, 440 (2018)