Results 111 to 120 of about 9,044 (253)

Tumor mutational burden as a determinant of metastatic dissemination patterns

Molecular Oncology, EarlyView.
This study performed a comprehensive analysis of genomic data to elucidate whether metastasis in certain organs share genetic characteristics regardless of cancer type. No robust mutational patterns were identified across different metastatic locations and cancer types.
Eduardo Candeal, Andrea Moreno‐Manuel, Miguel Salvadó‐Pertierra, Cristina Santos‐Vivas, Rebeca Sanz‐Pamplona   +4 more
wiley   +1 more source

Distributionally robust optimization for fire station location under uncertainties. [PDF]

Sci Rep, 2022
Ming J, Richard JP, Qin R, Zhu J.
europepmc   +1 more source

Distributionally Robust Optimization and Robust Statistics

Statistical Science
We review distributionally robust optimization (DRO), a principled approach for constructing statistical estimators that hedge against the impact of deviations in the expected loss between the training and deployment environments. Many well-known estimators in statistics and machine learning (e.g.
Blanchet, Jose, Li, Jiajin, Lin, Sirui, Zhang, Xuhui   +3 more
openaire   +2 more sources

Correlation of the differential expression of PIK3R1 and its spliced variant, p55α, in pan‐cancer

Molecular Oncology, EarlyView.
PIK3R1 undergoes alternative splicing to generate the isoforms, p85α and p55α. By combining large patient datasets with laboratory experiments, we show that PIK3R1 spliced variants shape cancer behavior. While tumors lose the protective p85α isoform, p55α is overexpressed, changes linked to poorer survival and more pronounced in African American ...
Ishita Gupta, Yang Song, Madeleine Ndahayo, Anirudh Saxena, Theresa Guo, Dylan Z. Kelley, Jessica Gore, Andrew Hennigan, Alexa Anderson, John C. Papadimitriou, Daria A. Gaykalova   +10 more
wiley   +1 more source

Distributionally Robust Energy Optimization with Renewable Resource Uncertainty

Mathematics
With the increasing prevalence of intermittent power generation, the volatility, intermittency, and randomness of renewable energy pose significant challenges to the planning and operation of distribution networks.
Zhangyi Wang, Rui Cao, Dan Tang, Chunsheng Wang, Xiaoyu Liu, Weiguang Hu   +5 more
doaj   +1 more source

Sensitivity analysis of Wasserstein distributionally robust optimization problems. [PDF]

Proc Math Phys Eng Sci, 2021
Bartl D, Drapeau S, Obłój J, Wiesel J.
europepmc   +1 more source

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

Molecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

Scenario-Based Distributionally Robust Unit Commitment Optimization Involving Cooperative Interaction with Robots. [PDF]

Inf Syst Front, 2022
Song X, Wang B, Lin PC, Ge G, Yuan R, Watada J.   +5 more
europepmc   +1 more source

Wasserstein Distributionally Robust Learning

, 2020
Many decision problems in science, engineering, and economics are affected by uncertainty, which is typically modeled by a random variable governed by an unknown probability distribution. For many practical applications, the probability distribution is only observable through a set of training samples.
openaire   +1 more source

Distributionally Robust Reinforcement Learning

, 2019
Real-world applications require RL algorithms to act safely. During learning process, it is likely that the agent executes sub-optimal actions that may lead to unsafe/poor states of the system. Exploration is particularly brittle in high-dimensional state/action space due to increased number of low-performing actions.
Smirnova, Elena, Dohmatob, Elvis, Mary, Jérémie   +2 more
openaire   +2 more sources