Results 81 to 90 of about 967,069 (289)
, 2023 Abstract This chapter progresses from explanatory to predictive models. Topics include cross-validation, model performance metrics, prediction intervals, bias–variance tradeoff, tree-based algorithms, and various types of models with utility in classification and forecasting applications.
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Predictive Modeling for Spinal Metastatic Disease
DiagnosticsSpinal metastasis is exceedingly common in patients with cancer and its prevalence is expected to increase. Surgical management of symptomatic spinal metastasis is indicated for pain relief, preservation or restoration of neurologic function, and ...
Akash A. Shah, Joseph H. Schwab
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Predictive Modeling of the Non-Profit Sector in the US [PDF]
, 2018 The Non-Profit Sector contributes almost $1 trillion to the US economy, representing 5.4% of GDP, and generating over 12 million jobs in 2017. Yi (2010) suggests that a better understanding of the factors that affect fundraising should be of great ...
Quevedo, Francisco J. +1 more
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FEBS Letters, EarlyView.The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li +2 more
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Editorial: AI and multi-omics for rare diseases: Challenges, advances and perspectives, Volume II
Frontiers in Molecular Biosciences, 2022 Silvia Bottini +2 more
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Cell wall target fragment discovery using a low‐cost, minimal fragment library
FEBS Letters, EarlyView.LoCoFrag100 is a fragment library made up of 100 different compounds. Similarity between the fragments is minimized and 10 different fragments are mixed into a single cocktail, which is soaked to protein crystals. These crystals are analysed by X‐ray crystallography, revealing the binding modes of the bound fragment ligands.
Kaizhou Yan +5 more
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Editorial: AI and Multi-Omics for Rare Diseases: Challenges, Advances and Perspectives
Frontiers in Molecular Biosciences, 2021 Silvia Bottini +2 more
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Anticipation and Risk – From the inverse problem to reverse computation [PDF]
, 2009 . Risk assessment is relevant only if it has predictive relevance. In this sense, the anticipatory perspective has yet to contribute to more adequate predictions.
Nadin, Mihai
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Motif Discovery through Predictive Modeling of Gene Regulation
, 2005 We present MEDUSA, an integrative method for learning motif models of transcription factor binding sites by incorporating promoter sequence and gene expression data.
A. Battle +15 more
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FEBS Letters, EarlyView.In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai +9 more
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