Results 151 to 160 of about 7,500,359 (197)

Pairwise causal discovery in biochemical networks: A survey on directionality inference within complex networks from stationary observations. [PDF]

PLoS One
Leibovich N, Cuperlovic-Culf M.
europepmc   +1 more source

Modeling the Adaptation of Dairy Cows to Automatic Milking Systems Using Statistical Methods and Machine Learning: Development of the Robotic Adaptability Index. [PDF]

Animals (Basel)
Piwczyński D, Grzesiak W, Zaborski D, Siatka K.   +3 more
europepmc   +1 more source

Comprehensive assessment of alternative splicing analysis methods for single-cell RNA-seq. [PDF]

iScience
Jiang Q, Li G, Xing L, Zhang D, Sun J.
europepmc   +1 more source

CytoSignal detects locations and dynamics of ligand-receptor signaling at cellular resolution from spatial transcriptomic data. [PDF]

Nat Genet
Liu J, Manabe H, Qian W, Orikasa S, Ghaemmaghami J, Wang Y, Gu Y, Chu AKY, Gadhvi G, Song Y, McClinden P, Lama VN, Ono N, Welch JD.   +13 more
europepmc   +1 more source

A Comparative Analysis of Wildland Fire Smoke PM_2.5 Exposure Estimates Across California From 2008 to 2018. [PDF]

Geohealth
Connolly R, Nguyen JT, Walker A, Wilkins J, Ma Y, Aguilera R, Chen C, Gershunov A, Casey JA, Qiu M, Zhang D, Liu Y, Benmarhnia T, Jerrett M, Marlier ME.   +14 more
europepmc   +1 more source

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Analysis of method‐comparison data

Ophthalmic and Physiological Optics, 1994
Method‐comparison studies, in which new‘candidate’techniques are compared with an established‘gold standard', feature commonly in optometric research. Investigators often analyse their findings using least squares regression. Pearson's product‐moment correlation coefficient and the paired t‐test.
D E, Shaw, H S, Jones, M J, Moseley
openaire   +2 more sources

On Methods in the Analysis of Profile Data

Psychometrika, 1959
This paper is concerned with methods for analyzing quantitative, non-categorical profile data, e.g., a battery of tests given to individuals in one or more groups. It is assumed that the variables have a multinormal distribution with an arbitrary variance-covariance matrix.
Greenhouse, Samuel W., Geisser, Seymour
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Methods for Data Analysis

2009
The molecular epidemiology of infectious diseases uses a variety of techniques to assay the relatedness of disease-causing organisms to identify strains responsible for outbreaks or associated with particular phenotypes of interest (such as antibiotic resistance) and, it is hoped, provide insights into where and how these strains have emerged.
William Paul, Hanage, David Michael, Aanensen   +1 more
openaire   +2 more sources