Results 21 to 30 of about 325,935 (288)
Systematic inference of indirect transcriptional regulation by protein kinases and phosphatases.
Gene expression is controlled by pathways of regulatory factors often involving the activity of protein kinases on transcription factor proteins. Despite this well established mechanism, the number of well described pathways that include the regulatory ...
Christian Degnbol Madsen +2 more
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Accurate determination of causalities between genes is a challenge in the inference of gene regulatory networks (GRNs) from the gene expression profile.
Zhigang Jia +3 more
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Ensemble inference and inferability of gene regulatory networks. [PDF]
The inference of gene regulatory network (GRN) from gene expression data is an unsolved problem of great importance. This inference has been stated, though not proven, to be underdetermined implying that there could be many equivalent (indistinguishable)
S M Minhaz Ud-Dean, Rudiyanto Gunawan
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Constraining effective field theories with machine learning [PDF]
An important part of the Large Hadron Collider (LHC) legacy will be precise limits on indirect effects of new physics, framed for instance in terms of an effective field theory.
Brehmer Johann +6 more
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Neural nets for indirect inference [PDF]
For simulable models, neural networks are used to approximate the limited information posterior mean, which conditions on a vector of statistics, rather than on the full sample. Because the model is simulable, training and testing samples may be generated with sizes large enough to train well a net that is large enough, in terms of number of hidden ...
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Indirect effect inference and application to GAW20 data
Background Association studies using a single type of omics data have been successful in identifying disease-associated genetic markers, but the underlying mechanisms are unaddressed.
Liming Li +4 more
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Single-cell RNA-seq analysis coupled with CRISPR-based perturbation has enabled the inference of gene regulatory networks with causal relationships.
Masato Ishikawa +12 more
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A general model-based causal inference method overcomes the curse of synchrony and indirect effect
To identify causation, model-free inference methods, such as Granger Causality, have been widely used due to their flexibility. However, they have difficulty distinguishing synchrony and indirect effects from direct causation, leading to false ...
Se Ho Park, Seokmin Ha, Jae Kyoung Kim
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Causal inference from indirect experiments [PDF]
An indirect experiment is a study in which randomized control is replaced by randomized encouragement, that is, subjects are encouraged, rather than forced, to receive a given treatment program. The purpose of this paper is to bring to the attention of experimental researchers simple mathematical results that enable us to assess, from indirect ...
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Ibn Sina's concept of contradiction
This research talks about the concept of inference (inference) according to what those concerned with this science know, as the research dealt with the concept of inference linguistically and idiomatically, and the research also divided inference into ...
جواد الساعدي +1 more
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