Sentence examples for conflict in data from inspiring English sources

The time-dependent variability in the internalization and cell surface expression of the hIPΔ312 and/or hIPΔ307 may explain the apparent conflict in data between the previously reported research studies [24,39].

The imprecision also touches other aspects of his family life: noting the resulting conflicts in data, Călinescu decided that it was not possible for one to know if the writer's parents were married to each other (and, if so, if they were on their first marriage), nor how many children they had together.

Conflicts in data abstraction were resolved by consensus, referring back to the original article.

Two main factors can contribute to failure of a dataset to resolve a phylogeny: conflict in the data and lack of information in the data.

Sensors provide information to the system while humans serve as judges to resolve conflict in the data collected by the sensor.

This apparent conflict in the data may be because this compound exerts its activities via different pathways in different types of cancer cells [ 7].

Boxes or parallelograms in the network indicate conflicting phylogenetic signal [ 33]; this network contains only very narrow boxes, indicating that there is a low level of conflict in the data at the nucleotide level.

Due to large amounts of conflict in the data set, Parasitica families that were underrepresented (i.e. < 10 pseudocharacters in the matrix) or only in input tree polytomies had to be removed to ensure the analysis could be completed.

Interestingly there was a conflict in our data between the themes for strengths and weakness in that third year students recognised that some students may not like the use of video at all.

The index portrays the relative amount of homoplasy of individual phylogenetic characters (conflict in how data matches the reconstructed tree) and processes other than vertical inheritance, such as convergent evolution, horizontal gene transfer and recruitment [ 20].

However, uncertainty and conflicts abound in data collected by observers or synthesized by experts, making it challenging to effectively incorporate it into quantitative models.