Amanote Research
Register
Sign In
Discover open access scientific publications
Search, annotate, share and cite publications
Publications by Nicholas S. Geraci
Machine Learning Approaches to Predict Lupus Disease Activity From Gene Expression Data
Scientific Reports
Multidisciplinary
Related publications
Applying Machine Learning Techniques to Analysis of Gene Expression Data: Cancer Diagnosis
Machine Learning Approaches to Predict 6-Month Mortality Among Patients With Cancer
JAMA network open
Medicine
Applying Cost-Sensitive Extreme Learning Machine and Dissimilarity Integration to Gene Expression Data Classification
Computational Intelligence and Neuroscience
Medicine
Mathematics
Computer Science
Neuroscience
Using Epigenomics Data to Predict Gene Expression in Lung Cancer
BMC Bioinformatics
Biochemistry
Applied Mathematics
Computer Science Applications
Structural Biology
Molecular Biology
Combining Optical, Fluorescence, Thermal Satellite, and Environmental Data to Predict County-Level Maize Yield in China Using Machine Learning Approaches
Remote Sensing
Earth
Planetary Sciences
A Comparative Study of Different Machine Learning Methods on Microarray Gene Expression Data
BMC Genomics
Biotechnology
Genetics
Disease Prognosis by Machine Learning Over Big Data From Healthcare Communities
International Journal of Recent Technology and Engineering
Engineering
Management of Technology
Innovation
Improving Machine Learning Approaches to Coreference Resolution
Single-Cell Gene Expression Patterns in Lupus Monocytes Independently Indicate Disease Activity, Interferon and Therapy
Lupus Science and Medicine
Medicine
Immunology
