Results 71 to 80 of about 1,304,981 (339)

Determination of ADP/ATP translocase isoform ratios in malignancy and cellular senescence

open access: yesMolecular Oncology, EarlyView.
The individual functions of three isoforms exchanging ADP and ATP (ADP/ATP translocases; ANTs) on the mitochondrial membrane remain unclear. We developed a method for quantitatively differentiating highly similar human ANT1, ANT2, and ANT3 using parallel reaction monitoring. This method allowed us to assess changes in translocase levels during cellular
Zuzana Liblova   +18 more
wiley   +1 more source

Robust Learning from Bites for Data Mining [PDF]

open access: yes, 2006
Some methods from statistical machine learning and from robust statistics have two drawbacks. Firstly, they are computer-intensive such that they can hardly be used for massive data sets, say with millions of data points.
Christmann, Andreas   +2 more
core   +2 more sources

Detecting homologous recombination deficiency for breast cancer through integrative analysis of genomic data

open access: yesMolecular Oncology, EarlyView.
This study develops a semi‐supervised classifier integrating multi‐genomic data (1404 training/5893 validation samples) to improve homologous recombination deficiency (HRD) detection in breast cancer. Our method demonstrates prognostic value and predicts chemotherapy/PARP inhibitor sensitivity in HRD+ tumours.
Rong Zhu   +12 more
wiley   +1 more source

Variance Estimation for Logistic Regression in Case-cohort Studies

open access: yesJournal of Epidemiology
Background: The logistic regression analysis proposed by Schouten et al (Stat Med. 1993;12:1733–1745) has been a standard method in current statistical analysis of case-cohort studies, and it enables effective estimation of risk ratios from selected ...
Hisashi Noma
doaj   +1 more source

Development of 4T1 breast cancer mouse model system for preclinical carbonic anhydrase IX studies

open access: yesFEBS Open Bio, EarlyView.
Carbonic anhydrase IX (CAIX) is a well‐recognised therapeutic target and prognostic biomarker in cancer. We developed and characterised a robust murine breast cancer model system that is suitable for CAIX studies in vitro and in vivo—it comprises both CAIX‐positive and CAIX‐negative controls and provides a solid platform for the comprehensive ...
Zane Kalniņa   +13 more
wiley   +1 more source

Robust Interval State Estimation for Distribution Systems Considering Pseudo-measurement Interval Prediction

open access: yesJournal of Modern Power Systems and Clean Energy
Interval state estimation (ISE) can estimate state intervals of power systems according to confidence intervals of predicted pseudo-measurements, thereby analyzing the impact of uncertain pseudo-measurements on states.
Xu Zhang, Wei Yan, Meiqing Huo, Hui Li
doaj   +1 more source

Phenotypic plasticity in a novel set of EGFR tyrosine kinase inhibitor‐adapted non‐small cell lung cancer cell lines

open access: yesFEBS Open Bio, EarlyView.
Phenotypic plasticity in a newly established set of EGFR inhibitor‐adapted NSCLC cell lines during adaptation and in established cell lines. Here, we introduce novel sublines of the EGFR‐mutant non‐small cell lung cancer (NSCLC) cell lines HCC827 and HCC4006 adapted to the EGFR kinase inhibitors gefitinib (HCC827rGEFI2μm, HCC4006rGEFI1μm), erlotinib ...
Tharsagini V. Nanthaprakash   +6 more
wiley   +1 more source

A Robust Root Mean Square Standardized Effect Size in One-Way Fixed-Effects ANOVA [PDF]

open access: yes, 2011
A robust Root Mean Square Standardized Effect Size (RMSSER) was developed to address the unsatisfactory performance of the Root Mean Square Standardized Effect Size. The coverage performances of the confidence intervals (CI) for RMSSER were investigated.
Algina, James, Zhang, Guili
core   +2 more sources

Beyond p‐values: Assessing clinical significance in acupuncture research

open access: yesAdvanced Chinese Medicine, EarlyView.
Abstract In acupuncture randomized controlled trials (RCTs), the proper interpretation of results requires a thorough understanding of key statistical concepts such as p‐value, effect size, and the minimal clinically important difference (MCID). This paper explores the relationships among these metrics and their implications for assessing the clinical ...
Changzhen Gong
wiley   +1 more source

Robust Learning from Bites [PDF]

open access: yes, 2005
Many robust statistical procedures have two drawbacks. Firstly, they are computer-intensive such that they can hardly be used for massive data sets. Secondly, robust confidence intervals for the estimated parameters or robust predictions according to the
Christmann, Andreas
core   +1 more source

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