Mar 16, 2013 · In this work, we present the framework NightShift (NMR Shift Inference by General Hybrid Model Training), which enables automated data set ...

Background: NMR chemical shift prediction plays an important role in various applications in computational biology. Among others, structure determination, ...

NMR chemical shift prediction plays an important role in various applications in computational biology. Among others, structure determination, ...

NightShift: NMR shift inference by general hybrid model training--a framework for NMR chemical shift prediction. Publication type: Article.

-. Chapter 2 NightShift: NMR Shift Inference by General Hybrid Model Training - A Framework for NMR Chemical Shift Prediction. This Book. 322pp. Published May ...

Bibliographic details on NightShift: NMR Shift Inference by General Hybrid Model Training - a Framework for NMR Chemical Shift Prediction.

A variety of NMR chemical shift prediction approaches have been presented in the past, but nearly all of these rely on laborious manual data set preparation and ...

NightShift: NMR Shift Inference by General Hybrid Model Training - a Framework for NMR Chemical Shift Prediction. Article. Full-text available. Mar 2013.

NightShift: NMR Shift Inference by General Hybrid Model Training - a Framework for NMR Chemical Shift Prediction. Abstract NMR chemical shift prediction ...

NightShift: NMR shift inference by general hybrid model training - a framework for NMR chemical shift prediction · Utility of ¹H NMR Chemical Shifts ...