Comparison of null models for combination drug therapy reveals Hand model as biochemically most plausible
Sign Up to like & getrecommendations! Published in 2019 at "Scientific Reports"
DOI: 10.1038/s41598-019-38907-x
Abstract: Null models for the effect of combination therapies are widely used to evaluate synergy and antagonism of drugs. Due to the relevance of null models, their suitability is continuously discussed. Here, we contribute to the… read more here.
Keywords: biochemically plausible; hand model; model biochemically; model ... See more keywords
Uncovering offline event similarity of online friends by constructing null models
Sign Up to like & getrecommendations! Published in 2019 at "Chinese Physics B"
DOI: 10.1088/1674-1056/28/6/068901
Abstract: The emergence of Event-based Social Network (EBSN) data that contain both social and event information has cleared the way to study the social interactive relationship between the virtual interactions and physical interactions. In existing studies,… read more here.
Keywords: offline event; similarity; online friends; event similarity ... See more keywords
Null models for null hypotheses in taxonomy: a test using Scyphozoa
Sign Up to like & getrecommendations! Published in 2021 at "Biological Journal of the Linnean Society"
DOI: 10.1093/biolinnean/blab070
Abstract: Although molecular tools are becoming more important in the delineation of scyphozoan species there is, perforce, a need to substantiate new species definitions using morphological data. Access to type material is often difficult and detailed,… read more here.
Keywords: null hypotheses; taxonomy test; test using; hypotheses taxonomy ... See more keywords
Unmasking structural patterns in incidence matrices: an application to ecological data
Sign Up to like & getrecommendations! Published in 2019 at "Journal of the Royal Society Interface"
DOI: 10.1098/rsif.2018.0747
Abstract: Null models have become a crucial tool for understanding structure within incidence matrices across multiple biological contexts. For example, they have been widely used for the study of ecological and biogeographic questions, testing hypotheses regarding… read more here.
Keywords: incidence; structural patterns; incidence matrices; study ... See more keywords
Quantifying the Effect of Community Structures for Link Prediction by Constructing Null Models
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2993455
Abstract: The existing studies of link prediction mostly focused on using network topology properties to improve the accuracy of link prediction. More broadly, researches on the role of community structures for link prediction have recently received… read more here.
Keywords: community structures; link prediction; prediction; null models ... See more keywords
Phylogenetic community structure metrics and null models: a review with new methods and software
Sign Up to like & getrecommendations! Published in 2017 at "Ecography"
DOI: 10.1111/ecog.02070
Abstract: Competitive exclusion and habitat filtering influence community assembly, but ecologists and evolutionary biologists have not reached consensus on how to quantify patterns that would reveal the action of these processes. Currently, at least 22 α-diversity… read more here.
Keywords: null model; diversity; community; diversity metrics ... See more keywords
Null models for understanding fairy shrimp habitats
Sign Up to like & getrecommendations! Published in 2017 at "Animal Biology"
DOI: 10.1163/15707563-00002532
Abstract: The Chilean fairy shrimp species are represented by the Branchinecta genus, which are poorly described, and mainly occur in shallow ephemeral pools in the Atacama Desert of northern Chile and the Southern Chilean Patagonian plains.… read more here.
Keywords: models understanding; understanding fairy; shrimp habitats; fairy shrimp ... See more keywords
Better null models for assessing predictive accuracy of disease models
Sign Up to like & getrecommendations! Published in 2022 at "PLOS ONE"
DOI: 10.1371/journal.pone.0285215
Abstract: Null models provide a critical baseline for the evaluation of predictive disease models. Many studies consider only the grand mean null model (i.e. R2) when evaluating the predictive ability of a model, which is often… read more here.
Keywords: better null; null models; disease; models assessing ... See more keywords
Random Walk Null Models for Time Series Data
Sign Up to like & getrecommendations! Published in 2017 at "Entropy"
DOI: 10.3390/e19110615
Abstract: Permutation entropy has become a standard tool for time series analysis that exploits the temporal and ordinal relationships within data. Motivated by a Kullback–Leibler divergence interpretation of permutation entropy as divergence from white noise, we… read more here.
Keywords: null models; time series; walk null; random walk ... See more keywords