Pages that link to "Q47224109"
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The following pages link to Engineering support vector machine kernels that recognize translation initiation sites (Q47224109):
Displaying 50 items.
- Improving the Caenorhabditis elegans genome annotation using machine learning (Q21145670) (← links)
- Sequence information for the splicing of human pre-mRNA identified by support vector machine classification (Q24561544) (← links)
- Postgenomics: Proteomics and Bioinformatics in Cancer Research (Q24800450) (← links)
- Oligo kernels for datamining on biological sequences: a case study on prokaryotic translation initiation sites (Q24801221) (← links)
- Comparison of computational methods for identifying translation initiation sites in EST data (Q24802716) (← links)
- Classification of real and pseudo microRNA precursors using local structure-sequence features and support vector machine. (Q25256879) (← links)
- Stepwise approach for combining many sources of evidence for site-recognition in genomic sequences (Q28603257) (← links)
- Bioinformatics and Drug Discovery (Q30395256) (← links)
- In silico regulatory analysis for exploring human disease progression (Q30482686) (← links)
- A statistical approach for 5' splice site prediction using short sequence motifs and without encoding sequence data (Q30871451) (← links)
- Data mining tools for biological sequences (Q30950339) (← links)
- Kernel-based distance metric learning for microarray data classification (Q31044239) (← links)
- Learning interpretable SVMs for biological sequence classification (Q33244587) (← links)
- Prediction of gene expression in embryonic structures of Drosophila melanogaster (Q33292015) (← links)
- Predicting the phenotypic effects of non-synonymous single nucleotide polymorphisms based on support vector machines (Q33305726) (← links)
- Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational proteomics (Q33308294) (← links)
- Accurate splice site prediction using support vector machines (Q33319511) (← links)
- Automatic detection of exonic splicing enhancers (ESEs) using SVMs (Q33368467) (← links)
- MetWAMer: eukaryotic translation initiation site prediction (Q33370406) (← links)
- Support vector machines and kernels for computational biology (Q33381579) (← links)
- Detection and characterization of 3D-signature phosphorylation site motifs and their contribution towards improved phosphorylation site prediction in proteins (Q33433203) (← links)
- KIRMES: kernel-based identification of regulatory modules in euchromatic sequences (Q33434261) (← links)
- Current methods of gene prediction, their strengths and weaknesses (Q34153049) (← links)
- Improvement in the prediction of the translation initiation site through balancing methods, inclusion of acquired knowledge and addition of features to sequences of mRNA. (Q34173612) (← links)
- Insights from classifying visual concepts with multiple kernel learning (Q34398782) (← links)
- Computational gene finding in plants (Q34541401) (← links)
- DiANNA 1.1: an extension of the DiANNA web server for ternary cysteine classification (Q34547962) (← links)
- Development of an automatic classification system for differentiation of obstructive lung disease using HRCT. (Q34597948) (← links)
- Positron emission tomography/magnetic resonance imaging: the next generation of multimodality imaging? (Q34768592) (← links)
- SVM2Motif--Reconstructing Overlapping DNA Sequence Motifs by Mimicking an SVM Predictor (Q35874583) (← links)
- Transductive learning as an alternative to translation initiation site identification. (Q36268186) (← links)
- Transcriptome dynamics-based operon prediction and verification in Streptomyces coelicolor (Q36328910) (← links)
- Machine learning for regulatory analysis and transcription factor target prediction in yeast (Q36869647) (← links)
- A Study of Domain Adaptation Classifiers Derived From Logistic Regression for the Task of Splice Site Prediction (Q36973589) (← links)
- A thermodynamic approach to PCR primer design (Q37273679) (← links)
- Position weight matrix, gibbs sampler, and the associated significance tests in motif characterization and prediction (Q37288720) (← links)
- Prediction of candidate primary immunodeficiency disease genes using a support vector machine learning approach (Q37429402) (← links)
- Prediction of functional class of proteins and peptides irrespective of sequence homology by support vector machines (Q37462980) (← links)
- Feature selection for the prediction of translation initiation sites (Q37519983) (← links)
- Genomic similarity and kernel methods II: methods for genomic information (Q37770382) (← links)
- Bioinformatics approaches for improved recombinant protein production in Escherichia coli: protein solubility prediction (Q38127406) (← links)
- Machine learning applications in genetics and genomics (Q38463061) (← links)
- A comprehensive software suite for the analysis of cDNAs (Q39522616) (← links)
- Prediction of donor splice sites using random forest with a new sequence encoding approach (Q40065840) (← links)
- Support vector machine regression for the prediction of maize hybrid performance. (Q40175258) (← links)
- mGene: accurate SVM-based gene finding with an application to nematode genomes (Q42629117) (← links)
- TITER: predicting translation initiation sites by deep learning (Q42688874) (← links)
- A two-stage evolutionary approach for effective classification of hypersensitive DNA sequences (Q44967267) (← links)
- Characterization and prediction of mRNA polyadenylation sites in human genes. (Q45962213) (← links)
- Combined empirical mode decomposition and texture features for skin lesion classification using quadratic support vector machine (Q47176380) (← links)