User profiles for Gerard A. Bouland
 | Gerard BoulandPhD Candidate at Delft University of Technology Verified email at tudelft.nl Cited by 151 |
[HTML][HTML] Consequences and opportunities arising due to sparser single-cell RNA-seq datasets
With the number of cells measured in single-cell RNA sequencing (scRNA-seq) datasets
increasing exponentially and concurrent increased sparsity due to more zero counts being …
increasing exponentially and concurrent increased sparsity due to more zero counts being …
[HTML][HTML] Identification of biomarkers for glycaemic deterioration in type 2 diabetes
We identify biomarkers for disease progression in three type 2 diabetes cohorts encompassing
2,973 individuals across three molecular classes, metabolites, lipids and proteins. …
2,973 individuals across three molecular classes, metabolites, lipids and proteins. …
[HTML][HTML] Replication and cross-validation of type 2 diabetes subtypes based on clinical variables: an IMI-RHAPSODY study
Aims/hypothesis Five clusters based on clinical characteristics have been suggested as
diabetes subtypes: one autoimmune and four subtypes of type 2 diabetes. In the current study …
diabetes subtypes: one autoimmune and four subtypes of type 2 diabetes. In the current study …
Distinct molecular signatures of clinical clusters in people with type 2 diabetes: an IMI-RHAPSODY study
Type 2 diabetes is a multifactorial disease with multiple underlying aetiologies. To address
this heterogeneity, investigators of a previous study clustered people with diabetes according …
this heterogeneity, investigators of a previous study clustered people with diabetes according …
Differential analysis of binarized single-cell RNA sequencing data captures biological variation
GA Bouland, A Mahfouz… - NAR Genomics and …, 2021 - academic.oup.com
Single-cell RNA sequencing data is characterized by a large number of zero counts, yet
there is growing evidence that these zeros reflect biological variation rather than technical …
there is growing evidence that these zeros reflect biological variation rather than technical …
NACHO: an R package for quality control of NanoString nCounter data
The NanoString TM nCounter ® is a platform for the targeted quantification of expression data
in biofluids and tissues. While software by the manufacturer is available in addition to third …
in biofluids and tissues. While software by the manufacturer is available in addition to third …
Identifying Aging and Alzheimer Disease–Associated Somatic Variations in Excitatory Neurons From the Human Frontal Cortex
Background and Objectives With age, somatic mutations accumulated in human brain cells
can lead to various neurologic disorders and brain tumors. Because the incidence rate of …
can lead to various neurologic disorders and brain tumors. Because the incidence rate of …
[HTML][HTML] An omics-based machine learning approach to predict diabetes progression: a RHAPSODY study
Methods In two prospective cohort studies as part of IMI-RHAPSODY, we investigated whether
clinical variables and three types of molecular markers (metabolites, lipids, proteins) can …
clinical variables and three types of molecular markers (metabolites, lipids, proteins) can …
[HTML][HTML] Single-cell RNA sequencing data reveals rewiring of transcriptional relationships in Alzheimer's Disease associated with risk variants
GA Bouland, KI Marinus, RE van Kesteren, AB Smit… - medRxiv, 2023 - ncbi.nlm.nih.gov
Understanding how genetic risk variants contribute to Alzheimer’s Disease etiology remains
a challenge. Single-cell RNA sequencing (scRNAseq) allows for the investigation of cell …
a challenge. Single-cell RNA sequencing (scRNAseq) allows for the investigation of cell …
The rise of sparser single-cell RNAseq datasets; consequences and opportunities
There is an exponential increase in the number of cells measured in single-cell RNA sequencing
(scRNAseq) datasets. Concurrently, scRNA-seq datasets become increasingly sparser …
(scRNAseq) datasets. Concurrently, scRNA-seq datasets become increasingly sparser …