Function prediction
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
... Since 2010, the CAFA community has been the home to a growing group of scientists across the globe sharing the goal of improving computational function prediction. CAFA has been advancing this goal in three ...
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Cluster Algorithm using Distributed Processing for Human Protein Function Prediction
... For the pharmaceutical industry, the discovery of a new drug presents an enormous scientific challenge, and consists essentially in the identification of the target responsible for the disease. Once the therapeutic ...
5
Protein function prediction using family-specific structural motifs
... protein function classification have been created using specific terms for different aspects of protein ...protein function by controlled protein annotation vocabularies in terms of molecular ...
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Fuzzy Mining Approach for Gene Clustering and Gene Function Prediction
... In this thesis paper We have developed a fuzzy mining technique for gene clustering and gene function prediction in gene expression data . Gene expression data are usually lowly expressed, averagely ...
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A Genome-Wide Gene Function Prediction Resource for Drosophila melanogaster
... of function prediction is to infer novel functions for genes to help prioritize hypothesis-driven ...current prediction methods to quantify the shades of gray in gene function ...
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Protein Function Prediction Model Using Multilabel Classification Algorithm
... In multi-label classification, A collected data values should create into a different state of paradigm and every paradigm should be created with a whole of classified data. A task of Multi-Label classification is to ...
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Graph pyramids for protein function prediction
... protein function predic- ...Protein function prediction methods based on PPI are promising as well as producing high performance but the availability of high throughput PPI data is an essential ...
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A Survey on Data Mining Of Gene Expression Data for Gene Function Prediction
... We propose innovative incremental fuzzy rules for fuzzy mining algorithms that can mine for better results from seemingly endless biological data sets and narrowing the pattern with each increment, thus resulting in a ...
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A combined approach for genome wide protein function annotation/prediction
... In this section, we compare our method with other techniques that also integrate multiple sources of infor- mation for protein annotation. The first technique we compare with is presented by S. Jaeger ’ s et al. [32]. ...
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Towards structured output prediction of enzyme function
... Results: In our experiments, in predicting enzyme EC classification we obtain over 85% accuracy (predicting the four digit EC code) and over 91% microlabel F1 score (predicting individual EC digits). In predicting the ...
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Function and Structure Prediction of Rv2004c, a Hypothetical Protein from M.tuberculosis
... Copyright to IJIRSET www.ijirset.com 4471 and stable Ensembl proteomes. The query had no hits from SMART database. When Pfam search was also included, the sequence is predicted to have a hit from Pfam database, the ...
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Does high inequality attract high skilled immigrants?
... model’s prediction that the relative returns to skill between the two countries is what matters, not necessarily the level of inequality or returns to skill in the home or host country ...
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Fatigue life prediction in a cancellous bone structure
... This paper will determine the prediction of the compressive fatigue behavior on several sample of cancellous bone as a function of density and porosity.... Compressive Fati[r] ...
22
On the predictability of ice avalanches
... This equation is the classical Kachanov-Rabotnov constitu- tive relation (Kachanov, 1957; Rabotnov, 1969), modeling the accumulation of isotropic damage in material subject to uniaxial load. Equation (5) describes, ...
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Prediction of lung function using handgrip strength in healthy young adults
... lung function were not considered in this ...lung function in an ...lung function of healthy young adults using an objective and simpler test like handgrip strength and not just with the use of ...
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Finding kernel function for stock market prediction with support vector regression
... bioactivity prediction and compound ...kernel function is popular among researchers, another high dimensional kernel function like polynomial has the potential of producing promising results ...
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Prediction of Drosophila melanogaster gene function using Support Vector Machines
... the prediction, recall measures the coverage or completeness. The prediction performance of SVM for a specific GO-BP category was evaluated with the use of a measure equal to the precision value ...
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Prediction of lung function using handgrip strength in healthy young adults
... 277 278 Discussion 279 This study was carried out to investigate the prediction of lung function indices FEV1, 280 FVC and PEFR using HGS dominant and non-dominant in healthy young Niger[r] ...
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A POISSON–NERNST–PLANCK MODEL FOR BIOLOGICAL ION CHANNELS—AN ASYMPTOTIC ANALYSIS IN A THREE-DIMENSIONAL NARROW FUNNEL
... a self-consistent manner by solving the Poisson equation coupled to the movement of all system particles, e.g., [10, 11, 12, 13, 14, 15]. These methods are limited by the multiscale nature of the channel problem in time, ...
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Cholesterol esterification in plasma as a biomarker for liver function and prediction of mortality
... In our work, we identified the plasma cholesterol esteri- fication fraction as a promising biomarker for the pre- diction of mortality in patients with end-stage liver disease. Cholesterol esterification fraction was ...
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