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Showing 1 to 9 of 9 for “"functional prediction"”.

  1. Algorithmic Developments for Sequence Analysis, Structure Modeling and Functional Prediction of Proteins

    … because of its ability to make structural and functional predictions through sequence analysis. In an effort to explore and utilize the protein sequence-structure-function relationships, with homology detection and utilization as the central scheme, this work concentrates on algorithmic …

    utswmed Repository record for Algorithmic Developments for Sequence Analysis, Structure Modeling and Functional Prediction of Proteins (opens in a new tab)

  2. Accurate Mutation Annotation and Functional Prediction Enhance The Applicability of -Omics Data In Precision Medicine

    … the accuracy of genomic testing in clinics and functional validation in genomic laboratories; 2) It performs “equivalence annotation”, which identifies the protein variants having identical genomic origins with a given protein variant. This function resolves annotation inconsistencies among …

    uthsc Repository record for Accurate Mutation Annotation and Functional Prediction Enhance The Applicability of -Omics Data In Precision Medicine (opens in a new tab)

  3. Improving Dbnsfp

    … automated indel annotation and deleteriousness prediction. The current sequencing results typically include both SNVs and indels. Although there have been many available tools to integrate functional prediction/annotations for SNV effects, there are no such tools for indels to my knowledge. …

    uthsc Repository record for Improving Dbnsfp (opens in a new tab)

  4. Functional Data Models for Raman Spectral Data and Degradation Analysis

    Functional data analysis (FDA) studies data in the form of measurements over a domain as whole entities. Our first focus is on the post-hoc analysis with pairwise and contrast comparisons of the popular functional ANOVA model comparing groups of functional data. Existing contrast tests assume …

    vt Repository record for Functional Data Models for Raman Spectral Data and Degradation Analysis (opens in a new tab)

  5. Statistical Methods for Variability Management in High-Performance Computing

    … in Chapter 1, Chapter 2 focuses on the prediction models for the scalar description of I/O variability. A comprehensive comparison study is conducted, and major surrogate models for computer experiments are investigated. In addition, a tool is developed for system configuration …

    vt Repository record for Statistical Methods for Variability Management in High-Performance Computing (opens in a new tab)

  6. Improved In Silico Methods for Target Deconvolution in Phenotypic Screens

    … can be interpreted at a confidence level and predictions specified at an acceptable error rate. Additionally, many current protocols only offer probabilities for affinity, thus another key area for development was to expand the target prediction models with functional prediction (activation or …

    cambridge Repository record for Improved In Silico Methods for Target Deconvolution in Phenotypic Screens (opens in a new tab)

  7. Network to pology In Human Protein Interaction Data Predicts Functional Association

    … be developed to increase the reliability of functional annotations. Previous work in a yeast PPI network (Samanta and Liang, 2003) has shown that the local connection topology, particularly for two proteins sharing an unusually large number of neighbors, can predict functional associations …

    uthsc Repository record for Network to pology In Human Protein Interaction Data Predicts Functional Association (opens in a new tab)

  8. ASSESSING PREDICTIVE MODELING APPROACHES FOR OPTIMIZING THERAPY IN ADVANCED LARYNGEAL AND HYPOPHARYNGEAL CANCERS

    … preferable as they help maintain organ functionality. Induction chemotherapy (ICT) is one such preservation approach; however, it is not suitable for all patients and may contribute to drug resistance in some cases. Identifying a molecular signature of ICT response in both responsive and …

    milano Repository record for ASSESSING PREDICTIVE MODELING APPROACHES FOR OPTIMIZING THERAPY IN ADVANCED LARYNGEAL AND HYPOPHARYNGEAL CANCERS (opens in a new tab)