Gene models trang 1 tải miễn phí từ TAILIEUCHUNG

"Gene models" trang 1 - tải miễn phí từ Tailieuchung

A comparative study of survival models for breast cancer prognostication revisited: The benefits of multi-gene models

A comparative study of survival models for breast cancer prognostication revisited: The benefits of multi-gene models

9 41 1

Seqping: Gene prediction pipeline for plant genomes using self-training gene models and transcriptomic data

Seqping: Gene prediction pipeline for plant genomes using self-training gene models and transcriptomic data

7 30 1

Automated alignment-based curation of gene models in filamentous fungi

Automated alignment-based curation of gene models in filamentous fungi

13 21 1

Expression of GATA4 gene into differentiated canine induced pluripotent stem cell

Expression of GATA4 gene into differentiated canine induced pluripotent stem cell

8 45 0

Approximate inference of gene regulatory network models from RNA-Seq time series data

Approximate inference of gene regulatory network models from RNA-Seq time series data

12 36 1

Comparison of pathway and gene-level models for cancer prognosis prediction

Comparison of pathway and gene-level models for cancer prognosis prediction

17 41 1

Bayesian differential analysis of gene regulatory networks exploiting genetic perturbations

Bayesian differential analysis of gene regulatory networks exploiting genetic perturbations

13 69 1

Repertoire-wide gene structure analyses: A case study comparing automatically predicted and manually annotated gene models

Repertoire-wide gene structure analyses: A case study comparing automatically predicted and manually annotated gene models

12 18 1

GeneMates: An R package for detecting horizontal gene co-transfer between bacteria using gene-gene associations controlled for population structure

GeneMates: An R package for detecting horizontal gene co-transfer between bacteria using gene-gene associations controlled for population structure

14 25 1

Báo cáo sinh học:

Báo cáo sinh học: "The use of fixed effect models and mixed models to estimate single gene associated effects on polygenic traits"

1 41 0

Predicting enhancers in mammalian genomes using supervised hidden Markov models

Predicting enhancers in mammalian genomes using supervised hidden Markov models

12 59 1

PeTTSy: A computational tool for perturbation analysis of complex systems biology models

PeTTSy: A computational tool for perturbation analysis of complex systems biology models

19 35 1

Alignment of time course gene expression data and the classification of developmentally driven genes with hidden Markov models

Alignment of time course gene expression data and the classification of developmentally driven genes with hidden Markov models

9 42 1

Investigating perturbed pathway modules from gene expression data via structural equation models

Investigating perturbed pathway modules from gene expression data via structural equation models

15 58 1

Clustering of time-course gene expression profiles using normal mixture models with autoregressive random effects

Clustering of time-course gene expression profiles using normal mixture models with autoregressive random effects

14 34 1

Low dose environmental radon exposure and breast tumor gene expression

Low dose environmental radon exposure and breast tumor gene expression

10 33 1

Consistent gene expression profiles in MexTAg transgenic mouse and wild type mouse asbestos-induced mesothelioma

Consistent gene expression profiles in MexTAg transgenic mouse and wild type mouse asbestos-induced mesothelioma

14 56 1

Deriving stratified effects from joint models investigating gene-environment interactions

Deriving stratified effects from joint models investigating gene-environment interactions

11 71 1

Construction and optimization of gene expression signatures for prediction of survival in two-arm clinical trials

Construction and optimization of gene expression signatures for prediction of survival in two-arm clinical trials

27 70 1

NPA: An R package for computing network perturbation amplitudes using gene expression data and two-layer networks

NPA: An R package for computing network perturbation amplitudes using gene expression data and two-layer networks

9 36 1

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