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1 eptual and technical challenges facing plant phenomics.
2  To address these challenges, we present MDR-Phenomics, a novel approach based on the multifactor dim
3 tility of systematic human and cross-species phenomics analyses in highly heterogeneous genetic disor
4  potential of zebrafish models in behavioral phenomics and high-throughput genetic/small molecule scr
5  Next, we present strategies for multi-scale phenomics, and describe how major improvements in imagin
6                 Recent advances in genomics, phenomics, and transcriptomics allow in-depth analysis o
7 the ESCRT proteins and then used an unbiased phenomics approach to probe the cellular role of Nhx1.
8                               Therefore, the phenomics approach, which characterizes phenotypes as a
9       We show how high-dimensional molecular phenomics data sets can be leveraged to accurately predi
10 tational tools are needed to analyze complex phenomics data, which consists of multiple traits/behavi
11 nts, thus studying both values and trends of phenomics data.
12 sion cluster memberships with an independent phenomics dataset and found that genes that consistently
13         We finally validate our methods on a phenomics dataset of growth conditions.
14 ndered by a vast amount of disease genomics, phenomics, drug treatment, and genetic pathway and uniqu
15              Recent advances in genomics and phenomics for a range of plant species, particularly cro
16 as only slightly smaller power than does MDR-Phenomics for single-locus analysis but has considerably
17  the development and evaluation of Microbial Phenomics Information Extractor (MicroPIE, version 0.1.0
18                                              Phenomics is essential for understanding the mechanisms
19                         We conclude that MDR-Phenomics is more powerful than MDR-PDT and SP-MDR when
20                                              Phenomics is the study of the properties and behaviors o
21                   As a result, the field of 'phenomics' is being born.
22                   Here we survey the current phenomics landscape, including data resources and handli
23 tions to bridge the gap between genomics and phenomics of leafroll disease.
24              In addition, a new discipline, "phenomics" or "phenometrics," could be initiated that wo
25 igh levels of morphological plasticity, crop phenomics presents distinct challenges compared with stu
26                    Most of the current human phenomics research is based primarily on European popula
27 ents an important challenge and major gap in phenomics research.
28 oming important in insect systematics and in phenomics studies of insect behavior and physiology.
29                                        Plant phenomics, the collection of large-scale plant phenotype
30                                              Phenomics, the comprehensive study of phenotypes, is the
31                     Finally, by applying MDR-Phenomics to autism, a complex disease in which multiple
32  inaccessible to nonmorphologists and causes phenomics to lag behind genomics in elucidating evolutio
33 haracterization at multiple levels-including phenomics, transcriptomics, proteomics, chromosome segre
34                     Software is available at phenomics.uky.edu/PhenoCurve.
35                              To validate MDR-Phenomics, we compared it with two MDR-based methods: (1
36                                              Phenomics, which ideally involves in-depth phenotyping a
37                      We further compared MDR-Phenomics with conditional logistic regression (CLR) for

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