Ralph Patrick
Title
Cited by
Cited by
Year
Single-cell expression profiling reveals dynamic flux of cardiac stromal, vascular and immune cells in health and injury
N Farbehi, R Patrick, A Dorison, M Xaymardan, V Janbandhu, ...
Elife 8, e43882, 2019
1012019
Single cell analysis of the developing mouse kidney provides deeper insight into marker gene expression and ligand-receptor crosstalk
AN Combes, B Phipson, KT Lawlor, A Dorison, R Patrick, L Zappia, ...
Development 146 (12), 2019
472019
PhosphoPICK: modelling cellular context to map kinase-substrate phosphorylation events
R Patrick, KA Lê Cao, B Kobe, M Bodén
Bioinformatics 31 (3), 382-389, 2015
302015
Nkx2. 5 marks angioblasts that contribute to hemogenic endothelium of the endocardium and dorsal aorta
L Zamir, R Singh, E Nathan, R Patrick, O Yifa, Y Yahalom-Ronen, AA Arraf, ...
Elife 6, e20994, 2017
172017
Transcriptional heterogeneity of fibroblasts is a hallmark of the aging heart
R Vidal, JUG Wagner, C Braeuning, C Fischer, R Patrick, L Tombor, ...
JCI insight 4 (22), 2019
132019
Predicting the dynamics of protein abundance
AM Mehdi, R Patrick, TL Bailey, M Bodén
Molecular & Cellular Proteomics 13 (5), 1330-1340, 2014
132014
Mapping the stabilome: a novel computational method for classifying metabolic protein stability
R Patrick, KA Lê Cao, M Davis, B Kobe, M Bodén
BMC systems biology 6 (1), 1-15, 2012
112012
Identification of active signaling pathways by integrating gene expression and protein interaction data
MH Kabir, R Patrick, JWK Ho, MD O’Connor
BMC systems biology 12 (9), 77-87, 2018
102018
PDGFRα signaling in cardiac stem and stromal cells modulates quiescence, metabolism and self-renewal, and promotes anatomical and functional repair
NS Asli, M Xaymardan, E Forte, AJ Waardenberg, J Cornwell, ...
BioRxiv, 225979, 2017
82017
Sierra: discovery of differential transcript usage from polyA-captured single-cell RNA-seq data
R Patrick, DT Humphreys, V Janbandhu, A Oshlack, JWK Ho, RP Harvey, ...
Genome biology 21 (1), 1-27, 2020
72020
Prediction of kinase-specific phosphorylation sites through an integrative model of protein context and sequence
R Patrick, C Horin, B Kobe, KA Lê Cao, M Bodén
Biochimica et Biophysica Acta (BBA)-Proteins and Proteomics 1864 (11), 1599-1608, 2016
72016
PhosphoPICK-SNP: quantifying the effect of amino acid variants on protein phosphorylation
R Patrick, B Kobe, KA Lê Cao, M Bodén
Bioinformatics 33 (12), 1773-1781, 2017
52017
Large-scale, single cell RNA sequencing defines novel cellular subsets required for cardiac repair
N Farbehi, R Patrick, M Xaymardan, R Harvey, R Nordon
Cytotherapy 20 (5), S14, 2018
2018
HIGH THROUGHPUT SINGLE-CELL MRNA SEQUENCING REVEALS CELLULAR HETEROGENEITY IN CARDIAC MSCS AFTER MYOCARDIAL INFARCTION (MI)
N Farbehi, R Patrick, M Xaymardan, RP Harvey, R Nordon
JOURNAL OF GENE MEDICINE 20 (1), 2018
2018
Molecular interaction motifs in a system-wide network context: Computationally charting transient kinase-substrate phosphorylation events
R Patrick
2016
Prediction of kinase-specific phosphorylation sites through an integrative model of protein context and sequence Proteins and proteomics
R Patrick, C Horin, B Kobe, KAL Cao, M Bodén
2016
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