Results 161 to 170 of about 17,604,202 (410)

Obesity alters the fitness of peritumoral adipose tissue, exacerbating tumor invasiveness in renal cancer through the induction of ADAM12 and CYP1B1

open access: yesMolecular Oncology, EarlyView.
Tumor microenvironment drives cancer formation and progression. We analyzed the role of human cancer‐associated adipocytes from patients with renal cell carcinoma (RCC) stratified as lean, overweight, or obese. RNA‐seq demonstrated that, among the most altered genes involved in the tumor–stroma crosstalk, are ADAM12 and CYP1B1, which were proven to be ...
Sepehr Torabinejad   +13 more
wiley   +1 more source

Revisiting Value Prediction

open access: yes, 2012
Value prediction was proposed in the mid 90's to enhance the performance of high-end microprocessors. Unfortunately, to the best of our knowledge, there are no Value Prediction implementations available on the market. Moreover, the research on Value Prediction techniques almost vanished in the early 2000's as it was more effective to increase the ...
Perais, Arthur, Seznec, André
openaire   +3 more sources

Predictive Uncertainty Quantification with Missing Covariates [PDF]

open access: yesarXiv
Predictive uncertainty quantification is crucial in decision-making problems. We investigate how to adequately quantify predictive uncertainty with missing covariates. A bottleneck is that missing values induce heteroskedasticity on the response's predictive distribution given the observed covariates.
arxiv  

Examining the predictive value of fertility preferences among Ghanaian women [PDF]

open access: yes
Despite extensive research, doubts remain regarding the degree of correspondence between prior stated fertility preferences and subsequent fertility behavior. Preference instability is a factor that potentially undermines predictiveness.
David Johnson   +2 more
core  

Addressing persistent challenges in digital image analysis of cancer tissue: resources developed from a hackathon

open access: yesMolecular Oncology, EarlyView.
Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran   +16 more
wiley   +1 more source

Impact of molecular diagnostics and targeted cancer therapy on patient outcomes (MODIFY): a retrospective study of the implementation of precision oncology

open access: yesMolecular Oncology, EarlyView.
The authors conducted a retrospective study of 94 patients with advanced cancer who underwent next‐generation sequencing (NGS) gene panel analysis and received targeted treatments when applicable. Results further support evidence indicating that molecular profiling provides clinical benefit.
Michaël Dang   +3 more
wiley   +1 more source

Predicting Parameters in Deep Learning [PDF]

open access: yesarXiv, 2013
We demonstrate that there is significant redundancy in the parameterization of several deep learning models. Given only a few weight values for each feature it is possible to accurately predict the remaining values. Moreover, we show that not only can the parameter values be predicted, but many of them need not be learned at all.
arxiv  

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