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

1 An observer assigned a Steinbrocker functional classification.

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

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

4 lysed by hierarchical clustering methods and functional classification.

5 of BL enzymes: Molecular Classification and Functional Classification.

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

7 for inferring evolutionary relationships and functional classification.

8 ties, opening new avenues of ecosystem-level functional classification.

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

10 suggesting some general applicability of the functional classification.

11 ding ligand interactions and may allow their functional classification.

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

13 n with human genes are consistent with their functional classifications.

14 protein motions between protein homologs and functional classifications.

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

16 easily be customized for other organisms and functional classifications.

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

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

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

20 For functional classification, a distance-corrected monocula

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

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

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

24 Comprehensive functional classification and DAVID/KEGG enrichment anal

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

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

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

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

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

30 nating >100 VUS and unannotated variants for functional classification and validating 27 hits.

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

32 Functional classifications and estimated abundance level

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

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

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

36 Our functional classifications are a resource to aid the int

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

38 A functional classification based on 48 emm-clusters conta

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

40 Functional classification based on MIPS and gene ontolog

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

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

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

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

45 This CAF functional classification correlates with patients' clin

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

47 A functional classification database was employed to chara

48 Here, we challenge this view, showing that functional classification depends on input patterns.

49 generally low sequence conservation has made functional classification difficult.

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

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

52 However, functional classification for metagenomic reads remains

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

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

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

56 A1 variants within the BK channel structure, functional classifications, genotype-phenotype associati

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

58 Protein subfamily functional classifications have more than doubled due to

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

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

61 r equal to 40% in New York Heart Association functional classification II to IV and elevated plasma l

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

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

64 Using functional classification in the GO databases, 80 of the

65 y of over 15,000 phylogenetic trees, and the functional classifications include Gene Ontology terms a

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

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

68 The resulting functional classification is evaluated on several publis

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

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

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

72 Functional classification of altered gene expression was

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

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

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

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

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

78 Functional classification of differentially expressed ge

79 Functional classification of differentially expressed ge

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

81 at our machine learning approach will aid in functional classification of enzymes and advance natural

82 Functional classification of EVI1-interacting proteins r

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

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

85 us allowing for a comprehensive and unbiased functional classification of genes involved in T2D.

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

87 Functional classification of genes represents a fundamen

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

89 The functional classification of genes upregulated only in m

90 To date, the characterization and functional classification of hemocytes has been hindered

91 We investigated whether functional classification of HNF1A rare coding variants

92 Based on these data, we expanded the functional classification of human kinases and phosphata

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

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

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

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

97 fic, physiologically relevant assays for the functional classification of platelet-related variants,

98 NTHER is a resource for the evolutionary and functional classification of protein-coding genes from a

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

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

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

102 model generalizability and ultimately enable functional classification of regulatory variants identif

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

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

105 We provide a functional classification of SERPING1 gene variants sugg

106 The functional classification of SLC35D1 as a general nucleo

107 ent SNAREs, highlighting the necessity for a functional classification of SNAREopathies to develop th

108 Functional classification of the 502 genes differentiall

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

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

111 Functional classification of the differentially expresse

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

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

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

115 The proposed functional classification of the kinase binding specific

116 Functional classification of the maize endosperm unigene

117 We suggest a functional classification of the possible sources, aimed

118 Functional classification of the STAT3-responsive progra

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

120 Functional classification of these genes revealed that m

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

122 Functional classification of these histone marker-associ

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

124 Functional classification of these revealed genes for ce

125 Functional classification of these transcripts, using Ge

126 The functional classification of transferred proteins was br

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

128 However, the functional classification of Ub-ligases needs to be revi

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

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

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

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

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

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

135 Functional classifications of these genes revealed stron

136 o more than 40 distinct subtypes, whether by functional classification or transcriptomics.

137 Features include functional classification, predictive algorithm for quer

138 Our novel arthropod functional classification provides an important compleme

139 NYHA functional classification, QOL, and clinical composite s

140 ular ejection fraction (LVEF), heart failure functional classification, quality of life, 6-minute wal

141 alization, myocardial infarction, changes in functional classification) rather than nonclinical prima

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

143 Functional classification revealed that lipid, energy an

144 Grouping interactors according to functional classifications revealed several categories,

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

146 Our functional classification scheme, CasID, is described al

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

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

149 Functional classification showed that PEL cell secretome

150 Functional classification shows that proteins with diver

151 ecent work unveils the limits of our current functional classification system for plant metabolites.

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

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

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

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

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

157 We also used our functional classifications to assess the performance of

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

159 Results of protein functional classification using phylogenomic analysis sh

160 For functional classifications, we have developed an entirel

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

162 lities to multiple stimuli and validate this functional classification with models of visual response

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

164 els performed similarly when compared to our functional classifications with accuracies of 39.5-85.4%

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