The phrase "robust candidate for" is grammatically correct and can be used in written English.
It is often used in a professional or academic context to describe someone who is well-suited for a particular task or role. Example: "John's extensive experience, strong skill set, and exceptional work ethic make him a robust candidate for the position of project manager."
This creates a stable and robust candidate for low pH applications.
Unexpected selectivity issues versus tissue plasminogen activator in the former series were addressed in the later, delivering a robust candidate for progression towards clinical studies.
Solution processed photovoltaics incorporating perovskite absorbers have achieved efficiencies of 15% [1] in solid-state device configurations, superseding liquid dye sensitized solar cell (DSC), evaporated and tandem organic solar cells, as well as various thin film photovoltaics; thus establishing perovskite solar cells as a robust candidate for commercialization.
Strain IBB10B05 was identified as a particularly robust candidate for intensification of lignocellulose-to-bioethanol production processes.
A DMP on MYL4, encoding myosin light chain 4, is a robust candidate for the identification of idiopathic preterm labour as it is identified by all 3 independent studies.
Although positive linkage findings for psychiatric disorders at chromosome 13q and previous genetic association studies consider the DAOA/G30 gene complex a robust candidate for schizophrenia and affective disorder, there is no consensus about the specific risk alleles or haplotypes across studies [ 1, 20].
sscMap differs from these approaches by exploring the avenue of selecting robust candidates for the potential to alter the phenotype of disease using a modified framework of the original Connectivity Map.
Our approach did not suggest any robust candidates for 4 earlier identified QTL.
Analysis of multiple transcriptomic datasets has the likelihood of discovering robust candidates for diagnosis and treatment.
Growing high-throughput transcriptomic data enables meta-analysis of multiple datasets which has the likelihood of discovering robust candidates for diagnosis and treatment.
The resultant 296 probesets, whose differential expression between SCC and AC shows the most stability, are robust candidates for signature validation.
