"inference for counts" trang 14 - tải miễn phí từ tailieuXANH
Impact of data resolution on three-dimensional structure inference methods

Impact of data resolution on three-dimensional structure inference methods
13    90    0
LEON-BIS: Multiple alignment evaluation of sequence neighbours using a Bayesian inference system

LEON-BIS: Multiple alignment evaluation of sequence neighbours using a Bayesian inference system
10    60    0
Statistical inference for time course RNA-Seq data using a negative binomial mixed-effect model

Statistical inference for time course RNA-Seq data using a negative binomial mixed-effect model
13    67    0
Interpreting transcriptional changes using causal graphs: New methods and their practical utility on public networks

Interpreting transcriptional changes using causal graphs: New methods and their practical utility on public networks
15    81    0
POPE: Post optimization posterior evaluation of likelihood free models

POPE: Post optimization posterior evaluation of likelihood free models
20    54    0
Reconstruction of novel transcription factor regulons through inference of their binding sites

Reconstruction of novel transcription factor regulons through inference of their binding sites
10    48    0
NetBenchmark: A bioconductor package for reproducible benchmarks of gene regulatory network inference

NetBenchmark: A bioconductor package for reproducible benchmarks of gene regulatory network inference
15    65    0
Tracing retinal vessel trees by transductive inference

Tracing retinal vessel trees by transductive inference
20    54    0
ShrinkBayes: A versatile R-package for analysis of count-based sequencing data in complex study designs

ShrinkBayes: A versatile R-package for analysis of count-based sequencing data in complex study designs
7    78    0
A continuous optimization approach for inferring parameters in mathematical models of regulatory networks

A continuous optimization approach for inferring parameters in mathematical models of regulatory networks
12    50    0
Metabolic network prediction through pairwise rational kernels

Metabolic network prediction through pairwise rational kernels
13    74    0
Pathway activity inference for multiclass disease classification through a mathematical programming optimisation framework

Pathway activity inference for multiclass disease classification through a mathematical programming optimisation framework
14    78    0
Improving statistical inference on pathogen densities estimated by quantitative molecular methods: Malaria gametocytaemia as a case study

Improving statistical inference on pathogen densities estimated by quantitative molecular methods: Malaria gametocytaemia as a case study
11    70    0
Methodology for the inference of gene function from phenotype data

Methodology for the inference of gene function from phenotype data
15    68    0
Fast individual ancestry inference from DNA sequence data leveraging allele frequencies for multiple populations

Fast individual ancestry inference from DNA sequence data leveraging allele frequencies for multiple populations
11    50    0
Inferring dynamic gene regulatory networks in cardiac differentiation through the integration of multi-dimensional data

Inferring dynamic gene regulatory networks in cardiac differentiation through the integration of multi-dimensional data
16    65    0
Dynamic probabilistic threshold networks to infer signaling pathways from time-course perturbation data

Dynamic probabilistic threshold networks to infer signaling pathways from time-course perturbation data
16    80    0
CompareSVM: Supervised, Support Vector Machine (SVM) inference of gene regularity networks

CompareSVM: Supervised, Support Vector Machine (SVM) inference of gene regularity networks
7    75    0
Reference and inference in English reading and implications in Vietnamese language classrooms

Reference and inference in English reading and implications in Vietnamese language classrooms
12    74    1
Selecting informative subsets of sparse supermatrices increases the chance to find correct trees

Selecting informative subsets of sparse supermatrices increases the chance to find correct trees
13    88    0
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