iGHBP: Computational identification of growth hormone binding proteins from sequences using extremely randomised tree

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iGHBP: Computational identification of growth hormone binding proteins from sequences using extremely randomised tree

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scientific article published on 24 October 2018

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wetenschappelijk artikel

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наукова стаття, опублікована у 2018

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iGHBP: Computational identific ...... sing extremely randomised tree

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iGHBP: Computational identific ...... sing extremely randomised tree

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iGHBP: Computational identific ...... sing extremely randomised tree

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iGHBP: Computational identific ...... sing extremely randomised tree

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iGHBP: Computational identific ...... sing extremely randomised tree

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iGHBP: Computational identific ...... sing extremely randomised tree

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P1476

iGHBP: Computational identific ...... sing extremely randomised tree

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Gwang Lee

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Shaherin Basith

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Tae Hwan Shin

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P2860

Structure-function relationship of cytoplasmic and nuclear IκB proteins: an in silico analysis

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Clinical review 112: Does serum growth hormone (GH) binding protein reflect human GH receptor function?

Growth hormone binding protein. The soluble growth hormone receptor

Growth hormone binding protein - physiological and analytical aspects

Physiology and pathophysiology of growth hormone-binding protein: methodological and clinical aspects

In silico approach to inhibition of signaling pathways of Toll-like receptors 2 and 4 by ST2L

DeepQA: improving the estimation of single protein model quality with deep belief networks

The meaning and use of the area under a receiver operating characteristic (ROC) curve

Random forest-based protein model quality assessment (RFMQA) using structural features and potential energy terms

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412-420

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scholarly article

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10.1016/J.CSBJ.2018.10.007

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Balachandran Manavalan

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2018-10-24T00:00:00Z

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30425802

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computational biology

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6222285

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