Pages that link to "Q38324199"

The following pages link to Enrico Glaab (Q38324199):

Displaying 49 items.

• Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data (Q28386273) (← links)
• Molecular Identification of d-Ribulokinase in Budding Yeast and Mammals (Q29870849) (← links)
• Building a virtual ligand screening pipeline using free software: a survey (Q30044592) (← links)
• Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease (Q30276980) (← links)
• ArrayMining: a modular web-application for microarray analysis combining ensemble and consensus methods with cross-study normalization (Q30491604) (← links)
• RepExplore: addressing technical replicate variance in proteomics and metabolomics data analysis (Q30900263) (← links)
• Extending pathways and processes using molecular interaction networks to analyse cancer genome data (Q33767168) (← links)
• Functional network construction in Arabidopsis using rule-based machine learning on large-scale data sets (Q34012502) (← links)
• PathVar: analysis of gene and protein expression variance in cellular pathways using microarray data (Q34085215) (← links)
• TopoGSA: network topological gene set analysis (Q34106540) (← links)
• EnrichNet: network-based gene set enrichment analysis. (Q34298569) (← links)
• Gender-Specific Expression of Ubiquitin-Specific Peptidase 9 Modulates Tau Expression and Phosphorylation: Possible Implications for Tauopathies (Q34545616) (← links)
• Condensing the omics fog of microbial communities. (Q34771709) (← links)
• Genome-wide network model capturing seed germination reveals coordinated regulation of plant cellular phase transitions (Q35035044) (← links)
• Transcriptomic analyses of primary astrocytes under TNFα treatment (Q36652604) (← links)
• A microfluidics-based in vitro model of the gastrointestinal human-microbe interface (Q36898152) (← links)
• Using prior knowledge from cellular pathways and molecular networks for diagnostic specimen classification (Q36910040) (← links)
• Inflammation Promotes a Conversion of Astrocytes into Neural Progenitor Cells via NF-κB Activation (Q37233799) (← links)
• Integrating pathways of Parkinson's disease in a molecular interaction map. (Q38119873) (← links)
• Toward Omics-Based, Systems Biomedicine, and Path and Drug Discovery Methodologies for Depression-Inflammation Research (Q38454097) (← links)
• Absence of regulator of G-protein signaling 4 does not protect against dopamine neuron dysfunction and injury in the mouse 6-hydroxydopamine lesion model of Parkinson's disease (Q40139518) (← links)
• Functional and phenotypic differences of pure populations of stem cell-derived astrocytes and neuronal precursor cells (Q40187211) (← links)
• Mitochondrial defects and neurodegeneration in mice overexpressing wild-type or G399S mutant HtrA2. (Q40278299) (← links)
• Inference of Longevity-Related Genes from a Robust Coexpression Network of Seed Maturation Identifies Regulators Linking Seed Storability to Biotic Defense-Related Pathways (Q40496536) (← links)
• GenePEN: analysis of network activity alterations in complex diseases via the pairwise elastic net. (Q41347068) (← links)
• Comparative pathway and network analysis of brain transcriptome changes during adult aging and in Parkinson's disease (Q41758686) (← links)
• Computational systems biology approaches for Parkinson's disease. (Q45943481) (← links)
• The mouse brain metabolome: region-specific signatures and response to excitotoxic neuronal injury. (Q45954462) (← links)
• Metformin reverses TRAP1 mutation-associated alterations in mitochondrial function in Parkinson's disease (Q46280273) (← links)
• A structure-activity relationship linking non-planar PCBs to functional deficits of neural crest cells: new roles for connexins (Q47375329) (← links)
• Conversion of Nonproliferating Astrocytes into Neurogenic Neural Stem Cells: Control by FGF2 and Interferon-γ. (Q48526111) (← links)
• RERG (Ras-like, oestrogen-regulated, growth-inhibitor) expression in breast cancer: a marker of ER-positive luminal-like subtype. (Q50544238) (← links)
• A rare loss-of-function variant of ADAM17 is associated with late-onset familial Alzheimer disease (Q56990475) (← links)
• A low protein diet during early gestation in sheep detrimentally impacts hepatic glucose metabolism in the adult offspring (Q56990504) (← links)
• 112 Luminal-like oestrogen receptor-positive breast cancer: identification of prognostic biological subclasses (Q56990513) (← links)
• vrmlgen: An R Package for 3D Data Visualization on the Web (Q56990518) (← links)
• 3D Cultures of Parkinson's Disease-Specific Dopaminergic Neurons for High Content Phenotyping and Drug Testing (Q64785438) (← links)
• Integrative analysis of blood metabolomics and PET brain neuroimaging data for Parkinson's disease (Q64785453) (← links)
• BSA4Yeast: Web-based quantitative trait locus linkage analysis and bulk segregant analysis of yeast sequencing data. (Q64996948) (← links)
• Impaired serine metabolism complements LRRK2-G2019S pathogenicity in PD patients (Q90766302) (← links)
• Integrated Analyses of Microbiome and Longitudinal Metabolome Data Reveal Microbial-Host Interactions on Sulfur Metabolism in Parkinson's Disease (Q91269247) (← links)
• Transcriptome profiling data reveals ubiquitin-specific peptidase 9 knockdown effects (Q91786940) (← links)
• Mutations in RHOT1 Disrupt Endoplasmic Reticulum-Mitochondria Contact Sites Interfering with Calcium Homeostasis and Mitochondrial Dynamics in Parkinson's Disease (Q91859559) (← links)
• Variants in Miro1 Cause Alterations of ER-Mitochondria Contact Sites in Fibroblasts from Parkinson's Disease Patients (Q92328689) (← links)
• A patient-based model of RNA mis-splicing uncovers treatment targets in Parkinson's disease (Q99247920) (← links)
• Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data (Q99710551) (← links)
• iPSC-Derived Microglia as a Model to Study Inflammation in Idiopathic Parkinson's Disease (Q112287017) (← links)
• Ten quick tips for biomarker discovery and validation analyses using machine learning (Q117012150) (← links)
• Integrating digital gait data with metabolomics and clinical data to predict outcomes in Parkinson’s disease (Q130927877) (← links)