Using the Fisher kernel method to detect remote protein homologies.
about
Postgenomics: Proteomics and Bioinformatics in Cancer ResearchHomology induction: the use of machine learning to improve sequence similarity searchesKernel-based machine learning protocol for predicting DNA-binding proteinsThe distance-profile representation and its application to detection of distantly related protein familiesKnowledge-based analysis of microarray gene expression data by using support vector machinesOn Efficient Large Margin Semisupervised Learning: Method and TheoryGenerative embedding for model-based classification of fMRI data.In silico regulatory analysis for exploring human disease progression.Word correlation matrices for protein sequence analysis and remote homology detection.Using distances between Top-n-gram and residue pairs for protein remote homology detectionSVM classifier to predict genes important for self-renewal and pluripotency of mouse embryonic stem cells.Gene- or region-based association study via kernel principal component analysis.DiANNA 1.1: an extension of the DiANNA web server for ternary cysteine classificationMRFalign: protein homology detection through alignment of Markov random fields.IpiRId: Integrative approach for piRNA prediction using genomic and epigenomic data.Machine learning for regulatory analysis and transcription factor target prediction in yeastDifferential diagnosis of mild cognitive impairment and Alzheimer's disease using structural MRI cortical thickness, hippocampal shape, hippocampal texture, and volumetryClustering multivariate time series using Hidden Markov Models.A Protein Classification Benchmark collection for machine learning.ALVIS: interactive non-aggregative visualization and explorative analysis of multiple sequence alignments.Residue-level prediction of DNA-binding sites and its application on DNA-binding protein predictions.Detecting species-site dependencies in large multiple sequence alignments.On large margin hierarchical classification with multiple paths.Maximum margin classifier working in a set of strings.
P2860
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P2860
Using the Fisher kernel method to detect remote protein homologies.
description
1999 nî lūn-bûn
@nan
1999年の論文
@ja
1999年論文
@yue
1999年論文
@zh-hant
1999年論文
@zh-hk
1999年論文
@zh-mo
1999年論文
@zh-tw
1999年论文
@wuu
1999年论文
@zh
1999年论文
@zh-cn
name
Using the Fisher kernel method to detect remote protein homologies.
@en
type
label
Using the Fisher kernel method to detect remote protein homologies.
@en
prefLabel
Using the Fisher kernel method to detect remote protein homologies.
@en
P2093
P1476
Using the Fisher kernel method to detect remote protein homologies
@en
P2093
D Haussler
M Diekhans
T Jaakkola
P304
P577
1999-01-01T00:00:00Z