Related references
Note: Only part of the references are listed.MS2AI: automated repurposing of public peptide LC-MS data for machine learning applications
Tobias Greisager Rehfeldt et al.
BIOINFORMATICS (2022)
The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation
Davide Chicco et al.
BIODATA MINING (2021)
The AIMe registry for artificial intelligence in biomedical research
Julian Matschinske et al.
NATURE METHODS (2021)
DOME: recommendations for supervised machine learning validation in biology
Ian Walsh et al.
NATURE METHODS (2021)
Universal Spectrum Identifier for mass spectra
Eric W. Deutsch et al.
NATURE METHODS (2021)
MINIMAR (MINimum Information for Medical Al Reporting): Developing reporting standards for artificial intelligence in health care
Tina Hernandez-Boussard et al.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2020)
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension
Xiaoxuan Liu et al.
NATURE MEDICINE (2020)
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension
Samantha Cruz Rivera et al.
NATURE MEDICINE (2020)
Setting the standards for machine learning in biology
David T. Jones
NATURE REVIEWS MOLECULAR CELL BIOLOGY (2019)
Correct machine learning on protein sequences: a peer-reviewing perspective
Ian Walsh et al.
BRIEFINGS IN BIOINFORMATICS (2016)
ChEBI in 2016: Improved services and an expanding collection of metabolites
Janna Hastings et al.
NUCLEIC ACIDS RESEARCH (2016)
ClassyFire: automated chemical classification with a comprehensive, computable taxonomy
Yannick Djoumbou Feunang et al.
JOURNAL OF CHEMINFORMATICS (2016)
Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD): The TRIPOD Statement
Gary S. Collins et al.
EUROPEAN UROLOGY (2015)
ProteomeXchange provides globally coordinated proteomics data submission and dissemination
Juan A. Vizcaino et al.
NATURE BIOTECHNOLOGY (2014)
Selection of representative protein data sets
Uwe Hobohm et al.
PROTEIN SCIENCE (2010)