data models trang 9 tải miễn phí từ TAILIEUCHUNG

"data models" trang 9 - tải miễn phí từ Tailieuchung

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

Benchmarking machine learning models for late-onset alzheimer’s disease prediction from genomic data

Benchmarking machine learning models for late-onset alzheimer’s disease prediction from genomic data

17 39 1

MetamicrobiomeR: An R package for analysis of microbiome relative abundance data using zero-inflated beta GAMLSS and meta-analysis across studies using random effects models

MetamicrobiomeR: An R package for analysis of microbiome relative abundance data using zero-inflated beta GAMLSS and meta-analysis across studies using random effects models

15 49 1

IntLIM: Integration using linear models of metabolomics and gene expression data

IntLIM: Integration using linear models of metabolomics and gene expression data

12 38 1

Development of models for predicting Torsade de Pointes cardiac arrhythmias using perceptron neural networks

Development of models for predicting Torsade de Pointes cardiac arrhythmias using perceptron neural networks

10 39 1

Prediction models for drug-induced hepatotoxicity by using weighted molecular fingerprints

Prediction models for drug-induced hepatotoxicity by using weighted molecular fingerprints

10 32 1

Two-way learning with one-way supervision for gene expression data

Two-way learning with one-way supervision for gene expression data

13 34 1

Application of dynamic topic models to toxicogenomics data

Application of dynamic topic models to toxicogenomics data

10 69 1

PSE-HMM: Genome-wide CNV detection from NGS data using an HMM with Position-Specific Emission probabilities

PSE-HMM: Genome-wide CNV detection from NGS data using an HMM with Position-Specific Emission probabilities

11 25 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

BTR: Training asynchronous Boolean models using single-cell expression data

BTR: Training asynchronous Boolean models using single-cell expression data

18 29 1

DegreeCox – a network-based regularization method for survival analysis

DegreeCox – a network-based regularization method for survival analysis

13 32 1

Consistency of biological networks inferred from microarray and sequencing data

Consistency of biological networks inferred from microarray and sequencing data

10 17 1

Broadwick: A framework for computational epidemiology

Broadwick: A framework for computational epidemiology

5 25 1

Factors affecting the accuracy of a class prediction model in gene expression data

Factors affecting the accuracy of a class prediction model in gene expression data

12 29 1

Latent class distributional regression for the estimation of non‑linear reference limits from contaminated data sources

Latent class distributional regression for the estimation of non‑linear reference limits from contaminated data sources

15 61 1

Probabilistic drug connectivity mapping

Probabilistic drug connectivity mapping

10 34 1

Addressing the unmet need for visualizing conditional random fields in biological data

Addressing the unmet need for visualizing conditional random fields in biological data

20 41 1

Quantification of biological network perturbations for mechanistic insight and diagnostics using two-layer causal models

Quantification of biological network perturbations for mechanistic insight and diagnostics using two-layer causal models

24 21 1

TagDust2: A generic method to extract reads from sequencing data

TagDust2: A generic method to extract reads from sequencing data

8 22 1

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