ライフサイエンスコーパス: functional classification

1 tina is not, by itself, a reliable guide for functional classification.

2 lysed by hierarchical clustering methods and functional classification.

3 class III of the New York Heart Association functional classification.

4 suggesting some general applicability of the functional classification.

5 of BL enzymes: Molecular Classification and Functional Classification.

6 ding ligand interactions and may allow their functional classification.

7 change in New York Heart Association (NYHA) functional classification.

8 ess these errors and improve the accuracy of functional classification.

9 An observer assigned a Steinbrocker functional classification.

10 more data available, and a more challenging functional classification.

11 protein motions between protein homologs and functional classifications.

12 o-expression patterns, topological roles and functional classifications.

13 easily be customized for other organisms and functional classifications.

14 terns are associated with Gene Ontology (GO) functional classifications.

15 sis was applied, grouping genes according to functional classifications.

16 e largest percentage of the group of all DHE functional classifications.

17 We present a first reproducible arthropod functional classification among the 147 taxa based on si

18 r Archaea, provide the basis for a universal functional classification and analysis.

19 ential or nonessential), and share identical functional classification and cellular localization.

20 Comprehensive functional classification and DAVID/KEGG enrichment anal

21 ithin the Epa family are weak indicators for functional classification and explain how Epa-like adhes

22 adults with heart failure and correlate with functional classification and prognosis.

23 re are the New York Heart Association (NYHA) functional classification and the American Heart Associa

24 challenge, and may require accurate variant functional classification and the collection of large nu

25 ion to both their New York Heart Association functional classification and their neurohormonal status

26 augmenting annotations in the enzyme and fly functional classifications and comparing subsets of thes

27 Functional classifications and estimated abundance level

28 mily relationships as well as structural and functional classifications and features.

29 e for comprehensive protein evolutionary and functional classification, and includes tools for large-

30 itives overall than when pairwise methods of functional classification are employed.

31 es graphical summaries for top taxonomic and functional classifications as well as a GO, NCBI Taxonom

32 A functional classification based on 48 emm-clusters conta

33 xidase genes was apparent after a structural-functional classification based on homology modeling and

34 Functional classification based on MIPS and gene ontolog

35 vival rates are good, as are the anginal and functional classifications, but there is a high rate of

36 ents (compared with 9 placebo) improved NYHA functional classification by at least one class (p = 0.1

37 tion, implying an important function, and no functional classification can be inferred from their seq

38 pectrometry search results, ambiguities, and functional classifications can be searched via the Plast

39 dary databases such as the Enzyme Commission functional classification database and the CATH fold cla

40 A functional classification database was employed to chara

41 generally low sequence conservation has made functional classification difficult.

42 We use a controlled taxonomical and functional classification for all the proteins and prote

43 The authors propose both a genetic and a functional classification for disorders of ubiquitinatio

44 HLA class I supertypes provide a functional classification for the many different HLA all

45 Here, we demonstrate how order-based and functional classification frameworks improve our underst

46 e text and pathway-mining tools such as gene functional classification, functional annotation chart o

47 n network: on average, proteins with a known functional classification had many more interaction part

48 Protein subfamily functional classifications have more than doubled due to

49 To ensure accurate functional classification, HMMs are constructed not only

50 gnments with similar sequences, and proposed functional classification, if available.

51 The NYHA functional classification improved 29% (p < 0.001).

52 n (EF) and New York Heart Association (NYHA) functional classification in patients with CHF.

53 Significantly, AA sub-genome ESTs of all functional classifications including cell-cycle control

54 s an expression data analysis service, where functional classification information can help find biol

55 The resulting functional classification is evaluated on several publis

56 Murine Gene-Chips analysis and subjected to functional classification, k-means clustering, promoter

57 Co-operation and Development, according to a functional classification of activities and whether all

58 rm-oocyte interaction, we tested whether the functional classification of ADAMs, based on specificity

59 Functional classification of altered gene expression was

60 The evidence presented here supports the functional classification of AtCNGC2 as a cyclic-nucleot

61 ns is thus a basic prerequisite for accurate functional classification of biological molecules.

62 ccelerate progress on the identification and functional classification of biologically important gene

63 to rapidly accelerate the identification and functional classification of biologically important huma

64 erences in phenotype are also related to the functional classification of CFTR genotype.

65 Functional classification of differentially expressed ge

66 Functional classification of differentially expressed ge

67 We propose that the functional classification of disease genes and their pro

68 Functional classification of EVI1-interacting proteins r

69 The functional classification of gene ontology (GO) was cons

70 tion, the differences between the number and functional classification of genes differentially up- an

71 The functional classification of genes on a genome-wide scal

72 Functional classification of genes represents a fundamen

73 ictor that uses only intergenic distance and functional classification of genes to predict TU boundar

74 The functional classification of genes upregulated only in m

75 We investigated whether functional classification of HNF1A rare coding variants

76 high-throughput assay for identification and functional classification of iNKT cell activating glycol

77 s with respect to the degree of methylation, functional classification of methylated transcripts, and

78 o neurotransmitters and ion channels enables functional classification of neurons; transcript profile

79 tation differs widely between study sites, a functional classification of plant species data provides

80 mation across microbial genomes improves the functional classification of proteins and provides a val

81 n that provides an explicit link between the functional classification of proteins and the effects of

82 ry time scales amenable to phylogenetics and functional classification of proteins.

83 enzyme activity signatures are generated for functional classification of samples, followed by in-dep

84 Applied to the functional classification of sequences similar to 13 hum

85 Functional classification of the 502 genes differentiall

86 This approach provides a functional classification of the binding specificity mec

87 nents and (3) browsing specific subsets or a functional classification of the complexes.

88 Functional classification of the differentially expresse

89 ons for query protein sequences based on the functional classification of the domain-based CATH-Gene3

90 ficities provide the framework for structure functional classification of the entire ROK family.

91 Our results offer a functional classification of the genetic basis for pacli

92 The proposed functional classification of the kinase binding specific

93 Functional classification of the maize endosperm unigene

94 We developed a functional classification of the vegetation, in terms of

95 Functional classification of these genes revealed that m

96 facilitate experimental studies and further functional classification of these genes.

97 Functional classification of these histone marker-associ

98 ed either positively or negatively by eIF3e; functional classification of these revealed a marked enr

99 Functional classification of these revealed genes for ce

100 Functional classification of these transcripts, using Ge

101 The functional classification of transferred proteins was br

102 The identification and functional classification of TSLP-dependent basophils in

103 particularly regarding data handling and the functional classification of variants, we suggest that t

104 equence, enhanced online BLAST search tools, functional classifications of cluster sequences and comp

105 sting resources on describing structural and functional classifications of DNA-binding proteins was u

106 We also provide functional classifications of S. stercoralis clusters.

107 Here we present a systematic analysis of the functional classifications of Sjoblom's "CAN" genes, a s

108 d be used to better demonstrate the complete functional classifications of some genes.

109 Functional classifications of these genes revealed stron

110 Features include functional classification, predictive algorithm for quer

111 Our novel arthropod functional classification provides an important compleme

112 NYHA functional classification, QOL, and clinical composite s

113 increased New York Heart Association (NYHA) functional classification (relative risk [RR]=2.02), inc

114 Functional classification revealed that lipid, energy an

115 Grouping interactors according to functional classifications revealed several categories,

116 ll the pairwise comparisons and our combined functional classification scheme for protein structures

117 rom conflicting cases, and also upgraded the functional classification scheme to reflect continuous a

118 arity to the domain pairs, based on a simple functional classification scheme.

119 those factors similar to known genes, or on functional classification schemes that amalgamate many t

120 Functional classification showed that PEL cell secretome

121 Functional classification shows that proteins with diver

122 e AHA/ACC heart failure staging nor the NYHA functional classification system identifies the variable

123 iagnosis, and the New York Heart Association functional classification system was used to document CD

124 X and PA genes are described with respect to functional classifications, their organization in the ge

125 We were able to assign a functional classification to 25 of 35 proteins identifie

126 Future uses of this approach range from functional classification to quantitative determination

127 ional annotation tool suites: the DAVID Gene Functional Classification Tool, the DAVID Functional Ann

128 Results of protein functional classification using phylogenomic analysis sh

129 gnificant associations between SSRs and gene functional classifications were detected, suggesting tha

130 plored by combining genome-wide experimental functional classification with the creation of switch-of

131 xercise tolerance, quality of life, and NYHA functional classification without an accompanying increa