ライフサイエンスコーパス: generative

1 We propose a generative algorithm GENESCs for SCs modeling fundamenta

2 r determining fluorescence brightness with a generative algorithm, the probability of selecting DNA t

3 inst a variety of alternative geometries and generative algorithms.

4 other implantable materials for better bone-generative and -regenerative potential.

5 ised machine learning methods, as well as of generative and discriminative modelling approaches.

6 ctor, Nanog is expressed within the striatal generative and mantle regions, and in Hdh-Q111 embryos t

7 velopment, a property that may have played a generative and regulatory role throughout the evolution

8 hift, suggesting that this is a particularly generative and revolutionary time to be studying decisio

9 In wild-type plants, generative and sperm nuclei enter S phase soon after inc

10 d to ionic balance can be the basis for both generative and survival selection mechanisms that may ha

11 i were produced with no differentiation into generative and vegetative cells.

12 al role in the photoperiodic control of both generative and vegetative growth in strawberry.

13 of Segal and Sharan as an alternative to the generative approach of Reiss and Schwikowski.

14 roviding these novel annotations, we built a generative approach to modeling of punctate distribution

15 (Simulation using Best-fit Algorithm) a non-generative approach, based on a combination of stochasti

16 This work focuses on supervised generative binary classification models, specifically li

17 repertoire, we show that the reduced B-cell generative capacity of "aged" long-term reconstituting h

18 mor incidence is determined by the life-long generative capacity of mutated cells.

19 tion with IL-3, IL-6, and SCF, preserves the generative capacity of primitive human hematopoietic cel

20 h CB, adult BM shows a reduction of in vitro generative capacity that is progressively more profound

21 ion to their capacity for extensive in vitro generative capacity, the human CD45(+)/CD34(-) cells rec

22 0-fold reduction in IL-7-dependent B lineage generative capacity.

23 ion between time of clonal proliferation and generative capacity.

24 f timing of initial clonal proliferation and generative capacity.

25 king system that rationally infers different generative causes of motion signals.

26 motion dynamics, effectively inferring their generative causes.

27 e, which led to failures in the birth of the generative cell and, subsequently, the sperm.

28 While structural features of the generative cell are well documented, genetic programs re

29 ll documented, genetic programs required for generative cell cycle progression are unknown.

30 progression through different phases of the generative cell cycle, providing the first evidence to o

31 s I (PMI) but fail at distinct stages of the generative cell cycle.

32 len1 (duo1) and duo pollen2 (duo2), in which generative cell division is blocked, resulting in the fo

33 ction during the second microspore division (generative cell division).

34 a range of intermediate or hybrid vegetative/generative cell fates suggests that cell fate is quantit

35 lity, slower pollen tube growth, and delayed generative cell mitosis.

36 in the sperm cells and not in the progenitor generative cell or in the vegetative cell, but it is als

37 Loss of HAPLESS 2/GENERATIVE CELL SPECIFIC 1 (HAP2/GCS1) proteins results

38 lants is initiated with the formation of the generative cell that is the progenitor of the two sperm

39 cell and a smaller generative cell, then the generative cell undergoes a second mitosis to give rise

40 nly in the sperm cells and in the progenitor generative cell, but not in the vegetative cell or in ot

41 rates a larger vegetative cell and a smaller generative cell, then the generative cell undergoes a se

42 len, suggesting that SLF1 is specific to the generative cell.

43 ll cycle after inception from mitosis of the generative cell.

44 uction of the genome before the formation of generative cells and promotes the exchange of genetic in

45 n regulating the transcriptional programs of generative cells and the zygote.

46 Mutant generative cells in duo1 pollen fail to enter mitosis at

47 r mitosis at G2-M transition, whereas mutant generative cells in duo2 enter PMII but arrest at promet

48 Prelife is a generative chemistry that proliferates information and p

49 uild the brain to be capable of flexible and generative cognition?

50 argue that inclusion of impairments in more generative cognitive processes is necessary for complete

51 For the generative component, we use a spike and slab prior over

52 nology, syntax, and semantics as independent generative components whose structures are linked by int

53 (e.g. genes) by a hybrid of conditional and generative components.

54 hin and between states enables a compact and generative description of the conformational landscape a

55 o neurons in primary motor cortex encode the generative details of motor behavior, such as individual

56 at regulates yearly cycles of vegetative and generative development through separate genetic pathways

57 ral sclerosis (ALS) is a progressive neurode-generative disease characterized by motor neuron death.

58 4200) is a rare, autosomal recessive neurode-generative disorder with brain iron accumulation as a pr

59 ce encourages students' active, exploratory, generative engagement.

60 We present GERV (generative evaluation of regulatory variants), a novel c

61 The generative event statistics are consistent between indiv

62 infer the joint distribution of the various generative events that occur when a new T-cell receptor

63 to teach modern psychiatry and can be a more generative forefather than the icon created by the neo-K

64 y, our results have validated a powerful and generative framework for synthesizing human neuroimaging

65 et the results of previous research within a generative framework.

66 re of grammar that contrasts with mainstream generative grammar (MGG) in that (a) it treats phonology

67 election favors the emergence of rule-based, generative grammars that underlie complex language.

68 que computer graphics platform that combines generative grammars with visual perception, we accessed

69 ility through the use of syntactic rules (or generative grammars) that describe the acceptable struct

70 in Arabidopsis thaliana, specifically during generative growth.

71 Unlike the traditional generative HMM, discriminative HMM can use examples from

72 It was found that our patient's grave verbal generative impairment was present for tasks involving st

73 We complement this discussion by exploring generative implicit CP self-models, arguably emerging du

74 hod for poly(A) motif prediction by marrying generative learning (hidden Markov models) and discrimin

75 Generative learning provides a rich palette on which the

76 es loaded with piRNAs derived from annotated generative loci, which are normally restricted to either

77 Surprisingly, there exists no simple generative mechanism explaining all the three properties

78 This generative mechanism for co-evolution of individual beha

79 This analysis emphasizes generative mechanisms and selective filters as genetical

80 es with enhanced neurotoxicity, although the generative mechanisms and the implications for disease t

81 An improved understanding of the generative mechanisms behind the mutation rules and thei

82 Generative mechanisms create the variation on which sele

83 Although it is not yet clear whether the generative mechanisms for human and animal behavior will

84 Generative mechanisms for this architecture have been di

85 and pathways, as a proxy for the underlying generative mechanisms inducing comorbidity.

86 hese findings impart novel insights into the generative mechanisms of metacognition.

87 ket fluctuations, suggesting system-specific generative mechanisms.

88 spects of HSC biology and applications in re-generative medicine.

89 arries both the semantics of a probabilistic generative model and of a neural network.

90 Moreover, we compared this model with a generative model combining spatial distance and topologi

91 We describe a generative model for documents, introduced by Blei, Ng,

92 We propose a generative model for NGS data derived from multiple subs

93 combines a previously proposed hierarchical generative model for oxi-mC-seq data and a general linea

94 We introduce a probabilistic generative model for protein localization, and develop a

95 In this paper, we introduce a simple generative model for the collective behavior of millions

96 t can facilitate the inference of the proper generative model for the task at hand, unlike perceptual

97 s neuroscience, we introduce a probabilistic generative model for vision in which message-passing-bas

98 could be taken as indication that there is a generative model in the brain, specifically one that can

99 lend further credence to the hypothesis of a generative model in the brain.

100 We have developed a generative model of binding sites in ChIP-chip data and

101 We then build a generative model of discovery informed by qualitative re

102 d enrichment analysis application based on a generative model of gene activation.

103 ge, we illustrate to our knowledge the first generative model of noise correlations that is consisten

104 arized discriminative model outperformed the generative model of Reiss and Schwikowski in terms of th

105 model selection to identify the most likely generative model of subjects' behavior and found that at

106 movement timing, we incorporate both into a generative model of swimming.

107 In this paper, a stochastic generative model of the metabolic system is developed.

108 the posterior probability distribution of a generative model of the read data.

109 composed of these elementary features, and a generative model of this process reproduces individual b

110 GERV learns a k-mer-based generative model of transcription factor binding from Ch

111 This is achieved using a hierarchical generative model that aims to minimize prediction error

112 In other states, the theory is a generative model that constructs a sensory representatio

113 ving movements are based upon a hierarchical generative model that infers the context in which moveme

114 We then use a novel generative model to create a detailed semantic atlas.

115 We demonstrate the use of a probabilistic generative model to explore the biomarker changes occurr

116 that auditory cortex continuously updates a generative model to predict its sensory inputs.

117 Here, we develop a generative model to produce undirected, simple, connecte

118 We used a simple generative model to synthesize novel sounds with natural

119 dels based on Bayesian inference in a linear generative model), for concreteness we demonstrate the a

120 tempt to encompass the wisdom of crowds in a generative model, but posit that a successful attempt at

121 ally, we classify artificial images from the generative model, interacting self-propelled particle mo

122 We present a generative model, Lux, to quantify DNA methylation modif

123 imple linear regression model and a Bayesian generative model, we show that most songs of the hermit

124 tive sorting is modelled around hypothesized generative model, which addresses the natural phenomena

125 igurations are proposed and scored against a generative model, which assumes Gaussian clusters overla

126 hat the phenome can be further analyzed by a generative model, which can discover probabilistic assoc

127 gical features of the real connectome as the generative model, yet better explained the connectivity

128 Using fMRI in combination with a generative model-based analysis, we found that probabili

129 ortion of connections (56%) explained by the generative model.

130 on of collective behavior using methods from generative modeling and nonlinear manifold learning.

131 how model selection in such probabilistic or generative modeling can facilitate analysis of closely r

132 We use graph analysis and generative modeling to show that the transition between

133 We propose, following Clark, that generative models also play a central role in the percep

134 ayesian cognitive processes and hierarchical generative models as discussed by the target article.

135 Here we consider generative models for the probability of a functional co

136 rm oscillatory codes for critical aspects of generative models of perception.

137 top-down influences and the plausibility of generative models of sensory brain function.

138 in sequences without relying on family-based generative models such as hidden Markov models.

139 ple levels of the visual hierarchy, based on generative models that differentiate between signals tha

140 ative representations function as high-level generative models that direct our attention and structur

141 y between cortical sources using a set of 21 generative models that embedded alternate hypotheses of

142 function can be conceived as a hierarchy of generative models that optimizes predictions of sensory

143 We compared 20 generative models that represented alternative interacti

144 neuronal rather than vascular level, we used generative models that specified both the neural interac

145 suggest that humans (i) employ hierarchical generative models to infer on the changing intentions of

146 he group structure and motion via a class of generative models to position each particle on a two-dim

147 functional contribution to the hierarchical generative models underlying speech perception.

148 forward models in motor control are not the generative models used in perceptual inference.

149 s and strategies in this regard, focusing on generative models which infer mechanistically interpreta

150 These approaches-biophysical network models, generative models, and model-based fMRI analyses of neur

151 Hierarchical generative models, such as Bayesian networks, and belief

152 Generative models, such as predictive coding, posit that

153 y inferences proceed without detailed causal generative models.

154 of interactions, resulting in less accurate generative models.

155 tificial networks created by several popular generative models.

156 ue is identifying discriminative rather than generative motifs.

157 n than for those involving secondary memory, generative naming, and executive functions.

158 The generative nature of recollection allows us to represent

159 cterization of this connectome and propose a generative network model which utilizes two elemental or

160 ional architecture of the brain but also its generative niches for resident progenitors - glial as we

161 dimensional discriminative model to encode a generative noise process-is generally applicable to othe

162 Mutant generative nuclei in duo1 complete DNA synthesis but byp

163 However, mutant generative nuclei in duo2 arrest in prometaphase of PMII

164 sis results in the accumulation of Bs in the generative nucleus and therefore ensures their transmiss

165 n and are continually replaced by input from generative organs.

166 aking the rTCA cycle special limits possible generative outcomes, there are many unrealized compounds

167 However, the Bayesian approach rejected the generative parameter values significantly less often tha

168 Although their generative pathway remains undefined, tolerance promotin

169 ehavior of source and sink organs during the generative phase of the barley (Hordeum vulgare) plant.

170 cture and a potential early step towards the generative phonemic system of human language.

171 ids preferentially become located toward the generative pole.

172 response may reflect the enlargement of this generative pool by the transient repression of IL-2-medi

173 's specific assertions, which may hinder the generative potential of their model.

174 infinite set of outputs ("grammars") vary in generative power.

175 y with positional priors in the context of a generative probabilistic model of ChIP data and genome s

176 ch to RNA multiple alignment which couples a generative probabilistic model of sequence and structure

177 To overcome these problems we developed a generative probabilistic model which identifies a (small

178 We present a generative, probabilistic model of RNA polymerase that f

179 Here, we develop a novel generative, probabilistic model that simultaneously capt

180 y plausible, but incorrect beliefs about the generative process for outcomes and (ii) human behavior

181 based learning, the agent seeks to learn the generative process for outcomes from which the value of

182 nsity and societal interaction, we propose a generative process for the evolution of social structure

183 s of predictive coding frame perception as a generative process in which expectations constrain senso

184 ollectively, these results point to a common generative process that is conserved across species, sug

185 be understood as an exploratory space and a generative process that leads to different, and sometime

186 mathematical structure suggested a unifying generative process, as reflected in the title of the boo

187 have "grown" from a skeleton by a stochastic generative process.

188 The deep homology of generative processes and cell-type specification mechani

189 lour and pattern variants to investigate the generative processes of skin colour patterning shared am

190 y the presence of cues suggestive of various generative processes, despite statistically identical ou

191 f movement pattern data, linking patterns to generative processes.

192 pture the relevant aspects of (hypothetical) generative processing in the cortex.

193 ne a model-derived approximation of the true generative regressor.

194 nguished researchers, he played an important generative role in determining the local cariostatic eff

195 The same generative rules have been found in vertebrate locomotor

196 We characterize and quantify the generative rules that shape Drosophila locomotor behavio

197 plication is centriole replication, which is generative, semiconservative, and independent of the nuc

198 However, her verbal generative skills were normal when she was asked to desc

199 We present a generative statistical model and associated inference me

200 Here we describe and validate a generative statistical model that accurately quantifies

201 spond to the spectral characteristics of the generative stimuli.

202 on of the apical meristem from vegetative to generative structures.

203 Prelife is a generative system that can produce information.

204 currently missing, we argue, is a positive, generative thesis about associative learning mechanisms

205 An association of invertase expression with generative tissue, both in vegetative and sexual modes o

206 e differentially expressed in vegetative and generative tissues undergoing PCD.

207 ers for the topologies of rachidial and barb generative zones (setting vane boundaries), respectively

208 within developing and adult periventricular generative zones can give rise to all of the major cellu

209 sed PSA-NCAM, multipotent cells derived from generative zones contained equal proportions of PSA-NCAM

210 o a specific lineage prior to migration from generative zones, there is within the cerebral cortex a

211 t has been thought to be restricted to these generative zones, we have utilized quantitative immunose

212 stnatal day 2 cerebral cortex independent of generative zones.

213 tnatal rodent cerebral cortex independent of generative zones.

214 ubunits are expressed within periventricular generative zones.

215 of proliferating cells was found within the generative zones.