Results 41 to 50 of about 123,313 (259)

Two Classes of Almost Unbiased Type Principal Component Estimators in Linear Regression Model

Journal of Applied Mathematics, 2014
This paper is concerned with the parameter estimator in linear regression model. To overcome the multicollinearity problem, two new classes of estimators called the almost unbiased ridge-type principal component estimator (AURPCE) and the almost unbiased
Yalian Li, Hu Yang
doaj   +1 more source

User-Friendly Covariance Estimation for Heavy-Tailed Distributions [PDF]

, 2019
We offer a survey of recent results on covariance estimation for heavy-tailed distributions. By unifying ideas scattered in the literature, we propose user-friendly methods that facilitate practical implementation. Specifically, we introduce element-wise
Ke, Yuan, Minsker, Stanislav, Ren, Zhao, Sun, Qiang, Zhou, Wen-Xin   +4 more
core   +1 more source

On estimation of the diagonal elements of a sparse precision matrix

, 2016
In this paper, we present several estimators of the diagonal elements of the inverse of the covariance matrix, called precision matrix, of a sample of iid random vectors. The focus is on high dimensional vectors having a sparse precision matrix.
Balmand, Samuel, Dalalyan, Arnak S.
core   +1 more source

Inhibition of CDK9 enhances AML cell death induced by combined venetoclax and azacitidine

Molecular Oncology, EarlyView.
The CDK9 inhibitor AZD4573 downregulates c‐MYC and MCL‐1 to induce death of cytarabine (AraC)‐resistant AML cells. This enhances VEN + AZA‐induced cell death significantly more than any combination of two of the three drugs in AraC‐resistant AML cells.
Shuangshuang Wu, Jianlei Zhao, Aaban Asfar Azmi, Avanti Gupte, Jenna Thibodeau, Shuang Liu, Jinli Yang, Guan Wang, Holly Edwards, Lisa A. Polin, Juiwanna Kushner, Sijana H. Dzinic, Kathryn White, Julie Boerner, Maik Hüttemann, Jay Yang, Yue Wang, Jeffrey W. Taub, Yubin Ge   +18 more
wiley   +1 more source

Inference for a Special Bilinear Time Series Model

, 2014
It is well known that estimating bilinear models is quite challenging. Many different ideas have been proposed to solve this problem. However, there is not a simple way to do inference even for its simple cases.
Ling, Shiqing, Peng, Liang, Zhu, Fukang
core   +2 more sources

The neural crest‐associated gene ERRFI1 is involved in melanoma progression and resistance toward targeted therapy

Molecular Oncology, EarlyView.
ERRFI1, a neural crest (NC)‐associated gene, was upregulated in melanoma and negatively correlated with the expression of melanocytic differentiation markers and the susceptibility of melanoma cells toward BRAF inhibitors (BRAFi). Knocking down ERRFI1 significantly increased the sensitivity of melanoma cells to BRAFi.
Nina Wang, Qian Sun, Daniel Novak, Lei Zhu, Juliane Poelchen, Tamara Steinfass, Yiman Wang, Viktor Umansky, Jochen Utikal   +8 more
wiley   +1 more source

Effect of chemotherapy on passenger mutations in metastatic colorectal cancer

Molecular Oncology, EarlyView.
Changes in passenger mutation load and predicted immunotherapy response after chemotherapy treatment. Tumor cells rich with passenger mutations have increased sensitivity to chemotherapy. Correlation of passenger mutations with neoantigen load suggests highly mutated clones promote a more effective response to immunotherapy, and therefore, first‐line ...
Marium T. Siddiqui, Matthew A. Cottam, Muhammad Bilal Mirza, Keeli B. Lewis, Kristen K. Ciombor, Mary Kay Washington, Kamran Idrees   +6 more
wiley   +1 more source

A New Biased Estimation Class to Combat the Multicollinearity in Regression Models: Modified Two--Parameter Liu Estimator

Computational Journal of Mathematical and Statistical Sciences
The multicollinearity problem occurrence of the explanatory variables affects the least-squares (LS) estimator seriously in the regression models. The multicollinearity adverse effects on the LS estimation are also investigated by many authors.
Mohamed Reda Abonazel
doaj   +1 more source

Enhancing Poisson-inverse Gaussian ridge-type estimation for overdispersed and multicollinear data: Properties, estimation techniques, and application [PDF]

AIP Advances
The Poisson inverse Gaussian regression model (PIGRM) is widely used for modeling overdispersion in count data, outperforming baseline Poisson and negative binomial regression models, particularly when dealing with longer tails and higher kurtosis data ...
Fatimah M. Alghamdi, Ali T. Hammad, Gizachew Tirite Gellow, Gamal A. Abd-Elmougod, Ahmed M. Gemeay, Eslam Hussam   +5 more
doaj   +1 more source

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