about
pGQL: A probabilistic graphical query language for gene expression time coursesPartially-supervised protein subclass discovery with simultaneous annotation of functional residues.Partial mixture model for tight clustering of gene expression time-courseConstrained mixture estimation for analysis and robust classification of clinical time series.PyMix--the python mixture package--a tool for clustering of heterogeneous biological data.DREM 2.0: Improved reconstruction of dynamic regulatory networks from time-series expression dataAccelerating Bayesian hierarchical clustering of time series data with a randomised algorithm.Alignment of time course gene expression data and the classification of developmentally driven genes with hidden Markov models.Bayesian hierarchical clustering for microarray time series data with replicates and outlier measurements.Analysis of time-series gene expression data: methods, challenges, and opportunities.Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data.Methods for estimating human endogenous retrovirus activities from EST databasesGene expression trees in lymphoid developmentA temporal precedence based clustering method for gene expression microarray data.Module discovery by exhaustive search for densely connected, co-expressed regions in biomolecular interaction networks.Detection and interpretation of metabolite-transcript coresponses using combined profiling data.A growth curve model with fractional polynomials for analysing incomplete time-course data in microarray gene expression studies.Fast MCMC sampling for hidden Markov Models to determine copy number variations.Classification of time series gene expression in clinical studies via integration of biological networktimeClip: pathway analysis for time course data without replicatesInterpolation based consensus clustering for gene expression time seriesAlignment and classification of time series gene expression in clinical studies.Detecting time periods of differential gene expression using Gaussian processes: an application to endothelial cells exposed to radiotherapy dose fraction.GEsture: an online hand-drawing tool for gene expression pattern search.Repeated Selection of Alternatively Adapted Haplotypes Creates Sweeping Genomic Remodeling in Stickleback
P2860
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P2860
description
2005 nî lūn-bûn
@nan
2005年の論文
@ja
2005年学术文章
@wuu
2005年学术文章
@zh
2005年学术文章
@zh-cn
2005年学术文章
@zh-hans
2005年学术文章
@zh-my
2005年学术文章
@zh-sg
2005年學術文章
@yue
2005年學術文章
@zh-hant
name
Analyzing gene expression time-courses.
@en
Analyzing gene expression time-courses.
@nl
type
label
Analyzing gene expression time-courses.
@en
Analyzing gene expression time-courses.
@nl
prefLabel
Analyzing gene expression time-courses.
@en
Analyzing gene expression time-courses.
@nl
P2093
P356
P1476
Analyzing gene expression time-courses.
@en
P2093
Alexander Schönhuth
Christine Steinhoff
Ivan G Costa
P304
P356
10.1109/TCBB.2005.31
P577
2005-07-01T00:00:00Z