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To understand the pattern how different biological functions are coordinated through combination of domains, we integrated the domain function information onto the DDI network.
In philosophy of biology, reduction involves questions about how different biological disciplines and theories are related, and how biology itself is connected to physics and chemistry (e.g., is biology autonomous, possessing its own theoretical principles, explanations, and methods?).
Although the detailed mechanism of KIAA1199-mediated cellularesponseses is still obscure, our proteomic study shed light on how different biological pathways may be influenced by KIAA1199 directly or indirectly.
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As a step toward engineering these transitional zones, we initially analyzed how different (topographical or biological) cues affect tenogenic differentiation of adipose-derived stem cells (ADSCs).
In order to see how well the different biological associations correlate, for each query gene, we compared the two lists of top 50 associated genes using two different biological associations, respectively.
This work represents a starting point to assess how different sources of biological data can be integrated on an inference method and how each information contributes to the improvement of prediction.
Nevertheless, it is unclear how different, from a biological perspective, BRCA1-mutated basal-like tumors are from BRCA1 non-mutated basal-like tumors, and whether BRCA1 mutation is an independent prognostic and/or predictive biomarker when the intrinsic subtype is taken into account [ 11– 15].
Detailed study is needed to decipher how these differences contributed to different biological effects associated with radiation qualities.
How comparable are the different biological agents to each other and to tofacitinib?
For example, the separation of fine (PM2.5) and coarse particles PM10-2.5 PM10-2.5on size distribasedn has sharpened onr undersizedistributione inhased sharpenedific particulate matters cour to rest in hunderstanding hof they lead to different biological symptoms [ 6, 12].
To investigate how genes involved in different biological processes interact with each other in the recovered networks, we first classified the genes in the networks into the second level Gene Ontology (GO) groups, then we used TVNViewer (http://cogito-b.ml.cmu.edu/tvnviewer/) to visualize interactions between these functional groups (Curtis et al., 2011).
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