The phrase "a sample for which" is correct and usable in written English.
It can be used when referring to a specific sample in relation to a particular context or condition.
Example: "We need to analyze a sample for which we have sufficient data to draw conclusions."
Alternatives: "a sample that" or "a sample in which".
The right-hand figure shows a sample for which the intended finger velocity was 0.04 m/s, which more closely approximated to that of the contactor.
The left-hand figure shows a sample for which the intended finger velocity was 0.1 m/s and greater than that of the contactor.
This consists of deliberately choosing a sample for which large variations are expected in the dimensions of interest previously identified.
Figures 2(c) and 2(d) show the histological and OCT sections of an intact porcine vertebra sample, i.e. a sample for which the layer of connective tissue covering spinal structures was not altered.
This level of analysis strikes a compromise between retaining high enough polymorphism while using a sample for which we can model patterns of polymorphism (in order to obtain null distributions for neutrality test statistics).
As we will show later, in cases where the ML estimator give good estimates of N, it is very unlikely to get a sample for which the ML estimator does not exist.
Our observations are congruent with previous reports indicating J4 and J6 over representation in multiple B cell contexts including peripheral B lymphocytes and B-ALL [ 6]. (A) Samples for which only canonical V-D-J recombination was observed.
Our choice of a minimum transcript count of 5 to call a gene detected in a given sample, for which an average 40 million aligned reads were obtained (5/40 = 0.125 transcripts per million [TPM]) is similar to the 0.1 TPM cut-off used in a recent benchmark of RNA-sequencing analysis workflows24.
In this setting, however, the standard is not an unknown clinical value measured with a standard device but instead a prepared sample for which accuracy was achieved by titration or other methods.
By applying supervised classification, we are able to use qPCR results in a modest number of samples to impute copy numbers into a larger sample for which SNP array signals are available.
The initial 41 participants were a pilot sample for which consent had not been collected for follow-up; thus, 130 participants formed the longitudinal sample.
