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Cox-nnet: An artificial neural network method for prognosis prediction of high-throughput omics data

PLoS computational biology, 2018-04, Vol.14 (4), p.e1006076-e1006076

2018

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More Is Better: Recent Progress in Multi-Omics Data Integration Methods

Frontiers in genetics, 2017, Vol.8, p.84-84

2017

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Deep Learning-Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer

Clinical cancer research, 2018-03, Vol.24 (6), p.1248-1259

2018

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DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data

Genome Biology, 2019-10, Vol.20 (1), p.211-211, Article 211

2019

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Deep Learning Accurately Predicts Estrogen Receptor Status in Breast Cancer Metabolomics Data

Journal of proteome research, 2018-01, Vol.17 (1), p.337-347

2018

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Power analysis and sample size estimation for RNA-Seq differential expression

RNA (Cambridge), 2014-11, Vol.20 (11), p.1684-1696

2014

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Mentorship is not co-authorship: a revisit to mentorship

Genome Biology, 2021-01, Vol.22 (1), p.2-2, Article 2

Garmire, Lana X

2021

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DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data

Genome medicine, 2021-07, Vol.13 (1), p.112-112, Article 112

2021

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From Hawaii to PECASE award: tips of success from a female bioinformatician

Genome Biology, 2019-12, Vol.20 (1), p.271-271, Article 271

Garmire, Lana X

2019

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Blood-derived lncRNAs as biomarkers for cancer diagnosis: the Good, the Bad and the Beauty

NPJ precision oncology, 2022-06, Vol.6 (1), p.40-40, Article 40

2022

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Evaluation of Cell Type Annotation R Packages on Single-cell RNA-seq Data

Genomics, proteomics & bioinformatics, 2021-04, Vol.19 (2), p.267-281

2021

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Using single nucleotide variations in single-cell RNA-seq to identify subpopulations and genotype-phenotype linkage

Nature communications, 2018-11, Vol.9 (1), p.4892-13, Article 4892

2018

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ASGARD is A Single-cell Guided Pipeline to Aid Repurposing of Drugs

Nature communications, 2023-02, Vol.14 (1), p.993-993, Article 993

2023

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Enter the Matrix: Factorization Uncovers Knowledge from Omics

Trends in genetics, 2018-10, Vol.34 (10), p.790-805

2018

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Evaluation of STAR and Kallisto on Single Cell RNA-Seq Data Alignment

G3 : genes - genomes - genetics, 2020-05, Vol.10 (5), p.1775-1783

2020

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Multimodal Meta-Analysis of 1,494 Hepatocellular Carcinoma Samples Reveals Significant Impact of Consensus Driver Genes on Phenotypes

Clinical cancer research, 2019-01, Vol.25 (2), p.463-472

2019

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A novel model to combine clinical and pathway-based transcriptomic information for the prognosis prediction of breast cancer

PLoS computational biology, 2014-09, Vol.10 (9), p.e1003851-e1003851

2014

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A review of omics approaches to study preeclampsia

Placenta (Eastbourne), 2020-03, Vol.92, p.17-27

2020

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Computational Methods for Single-cell Multi-omics Integration and Alignment

Genomics, proteomics & bioinformatics, 2022-10, Vol.20 (5), p.836-849

2022

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The maternal blood lipidome is indicative of the pathogenesis of severe preeclampsia

Journal of lipid research, 2021-01, Vol.62, p.100118-100118, Article 100118

2021

Volltextzugriff (PDF)

Granatum: a graphical single-cell RNA-Seq analysis pipeline for genomics scientists

Genome medicine, 2017-12, Vol.9 (1), p.108-12, Article 108

2017

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Time Series miRNA-mRNA integrated analysis reveals critical miRNAs and targets in macrophage polarization

Scientific reports, 2016-12, Vol.6 (1), p.37446-37446, Article 37446

2016

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Emerging artificial intelligence applications in Spatial Transcriptomics analysis

Computational and structural biotechnology journal, 2022-01, Vol.20, p.2895-2908

2022

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Co-detection and sequencing of genes and transcripts from the same single cells facilitated by a microfluidics platform

Scientific reports, 2014-09, Vol.4 (1), p.6485-6485, Article 6485

2014

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Cox-nnet: An artificial neural network method for prognosis prediction of high-throughput omics data

More Is Better: Recent Progress in Multi-Omics Data Integration Methods

Deep Learning-Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer

DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data

Deep Learning Accurately Predicts Estrogen Receptor Status in Breast Cancer Metabolomics Data

Power analysis and sample size estimation for RNA-Seq differential expression

Mentorship is not co-authorship: a revisit to mentorship

DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data

From Hawaii to PECASE award: tips of success from a female bioinformatician

Blood-derived lncRNAs as biomarkers for cancer diagnosis: the Good, the Bad and the Beauty

Evaluation of Cell Type Annotation R Packages on Single-cell RNA-seq Data

Using single nucleotide variations in single-cell RNA-seq to identify subpopulations and genotype-phenotype linkage

ASGARD is A Single-cell Guided Pipeline to Aid Repurposing of Drugs

Regulated Accumulation of Desmosterol Integrates Macrophage Lipid Metabolism and Inflammatory Responses

Enter the Matrix: Factorization Uncovers Knowledge from Omics

Evaluation of STAR and Kallisto on Single Cell RNA-Seq Data Alignment

Multimodal Meta-Analysis of 1,494 Hepatocellular Carcinoma Samples Reveals Significant Impact of Consensus Driver Genes on Phenotypes

A novel model to combine clinical and pathway-based transcriptomic information for the prognosis prediction of breast cancer

A review of omics approaches to study preeclampsia

Computational Methods for Single-cell Multi-omics Integration and Alignment

The maternal blood lipidome is indicative of the pathogenesis of severe preeclampsia

Granatum: a graphical single-cell RNA-Seq analysis pipeline for genomics scientists

Time Series miRNA-mRNA integrated analysis reveals critical miRNAs and targets in macrophage polarization

Emerging artificial intelligence applications in Spatial Transcriptomics analysis

Co-detection and sequencing of genes and transcripts from the same single cells facilitated by a microfluidics platform

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