Results 81 to 90 of about 3,294,315 (307)

Causal network inference using biochemical kinetics [PDF]

open access: yes, 2014
Motivation: Networks are widely used as structural summaries of biochemical systems. Statistical estimation of networks is usually based on linear or discrete models.
Bayani, Nora   +11 more
core   +1 more source

Single‐cell DNA methylation profiling: Technologies, computation, and applications in precision oncology

open access: yesMolecular Oncology, EarlyView.
Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley   +1 more source

Determinantal point process models and statistical inference

open access: yes, 2015
International audienceStatistical models and methods for determinantal point processes (DPPs) seemlargely unexplored. We demonstrate that DPPs provide useful models for the description ofspatial point pattern data sets where nearby points repel each ...
Møller, Jesper; id_orcid   +4 more
core   +1 more source

The renormalization group via statistical inference

open access: yesNew Journal of Physics, 2015
In physics, one attempts to infer the rules governing a system given only the results of imperfect measurements. Hence, microscopic theories may be effectively indistinguishable experimentally.
Cédric Bény, Tobias J Osborne
doaj   +1 more source

Pharmacological chromatin remodeling enhances response to estrogen therapy in ER+ breast cancer

open access: yesMolecular Oncology, EarlyView.
Estrogen therapy elicits clinical benefit in ~ 30% of patients with endocrine‐resistant estrogen receptor (ER)‐positive breast cancer. Based on findings that ER transcriptional activation underlies response to estrogen therapy, we tested the effects of epigenetic dysregulation via pharmacological inhibition of histone deacetylases (HDACi).
Anneka L. Johnson Thomas   +16 more
wiley   +1 more source

Profiling neoadjuvant therapy response in rectal cancer using meta‐analysis of publicly available transcriptomic RNA‐seq datasets

open access: yesMolecular Oncology, EarlyView.
This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic   +10 more
wiley   +1 more source

Likelihood decision functions [PDF]

open access: yes, 2012
In both classical and Bayesian approaches, statistical inference is unified and generalized by the corresponding decision theory. This is not the case for the likelihood approach to statistical inference, in spite of the manifest success of the ...
Cattaneo, Marco E. G. V.
core   +1 more source

Transcripts enriched in codons that trigger P‐site tRNA‐mediated mRNA decay possess stable mRNA

open access: yesFEBS Open Bio, EarlyView.
PTMD codons were first described by Mendel et al. as mediators of an mRNA decay pathway dependent on the human protein CNOT3, homologous to yeast Not5. Our findings confirm that PTMD codons destabilize transcripts; however, unlike in yeast, the human pathway specifically targets and slightly destabilizes primarily stable mRNAs.
Rodolfo Lopes Carneiro   +1 more
wiley   +1 more source

Exact statistical inference for categorical data

open access: yes, 2016
Exact Statistical Inference for Categorical Data discusses the way asymptotic approaches have been often used in practice to make statistical inference. This book introduces both conditional and unconditional exact approaches for the data in 2 by 2, or 2
Shan, Guogen, Shan, Guogen,author.
core  

Statistical Inference Using SGD

open access: yesProceedings of the AAAI Conference on Artificial Intelligence, 2018
We present a novel method for frequentist statistical inference in M-estimation problems, based on stochastic gradient descent (SGD) with a fixed step size: we demonstrate that the average of such SGD sequences can be used for statistical inference, after proper scaling.
Tianyang Li   +3 more
openaire   +3 more sources

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