Amanote Research
Register
Sign In
Discover open access scientific publications
Search, annotate, share and cite publications
Publications by Max Hebditch
Charge and Hydrophobicity Are Key Features in Sequence-Trained Machine Learning Models for Predicting the Biophysical Properties of Clinical-Stage Antibodies
PeerJ
Genetics
Molecular Biology
Biochemistry
Biological Sciences
Medicine
Agricultural
Neuroscience
Related publications
Machine Learning Models and Neural Network Techniques for Predicting Uddanam CKD
International Journal of Recent Technology and Engineering
Engineering
Management of Technology
Innovation
Predicting the State of Charge and Health of Batteries Using Data-Driven Machine Learning
Nature Machine Intelligence
Predicting the Mechanical Properties of Zeolite Frameworks by Machine Learning
Predicting Market Impact Costs Using Nonparametric Machine Learning Models
PLoS ONE
Multidisciplinary
Predicting the Phosphorylation Sites Using Hidden Markov Models and Machine Learning Methods
Journal of Chemical Information and Modeling
Computer Science Applications
Chemistry
Chemical Engineering
Library
Information Sciences
Predicting Diabetic Retinopathy and Identifying Interpretable Biomedical Features Using Machine Learning Algorithms
BMC Bioinformatics
Biochemistry
Applied Mathematics
Computer Science Applications
Structural Biology
Molecular Biology
Machine Learning Models for Predicting Hearing Prognosis in Unilateral Idiopathic Sudden Sensorineural Hearing Loss
Clinical and Experimental Otorhinolaryngology
Otorhinolaryngology
Surgery
BioPhysConnectoR: Connecting Sequence Information and Biophysical Models
BMC Bioinformatics
Biochemistry
Applied Mathematics
Computer Science Applications
Structural Biology
Molecular Biology
Machine Learning Algorithms Outperform Conventional Regression Models in Predicting Development of Hepatocellular Carcinoma
American Journal of Gastroenterology
Hepatology
Gastroenterology
