Results 91 to 100 of about 2,360,731 (274)

Variable Selection for Generalized Single-Index Varying-Coefficient Models with Applications to Synergistic G × E Interactions

open access: yesMathematics
Complex diseases such as type 2 diabetes are influenced by both environmental and genetic risk factors, leading to a growing interest in identifying gene–environment (G × E) interactions.
Shunjie Guan, Xu Liu, Yuehua Cui
doaj   +1 more source

Prognostic Impact of European LeukemiaNet Genetic Risk Stratification System in Adult Patients With Acute Myeloid Leukemia

open access: yesAging and Cancer, EarlyView.
This study aimed to evaluate the prognostic value of ELN2017 in predicting survival outcomes and to assess the impact of clinical and molecular factors such as age, FLT3 and NPM1 mutations, and allogeneic hematopoietic stem cell transplantation (allo‐HSCT).
Mobina Shrestha   +4 more
wiley   +1 more source

Statistics and Probability

open access: yesEPJ Web of Conferences, 2010
This ourse constitutes a brief introduction to probability applications in high energy physis. First the mathematical tools related to the diferent probability conepts are introduced. The probability distributions which are commonly used in high energy
Laktineh Imad
doaj   +1 more source

Shared Genetic Effects and Antagonistic Pleiotropy Between Multiple Sclerosis and Common Cancers

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epidemiologic studies have reported inconsistent altered cancer risk in individuals with multiple sclerosis (MS). Factors such as immune dysregulation, comorbidities, and disease‐modifying therapies may contribute to this variability.
Asli Buyukkurt   +5 more
wiley   +1 more source

Comparing SARIMA and Prophet Models for Short-Term Electricity Load Forecasting [PDF]

open access: yesITM Web of Conferences
An accurate electricity load forecasting is very essential for people to maintain the grid stability and also to plan an efficient energy operation. This study compares two time series forecasting methods-Seasonal Autoregressive Integrated Moving Average
Wang Ziyue
doaj   +1 more source

About the Functional Form of the Parisi Overlap Distribution for the Three-Dimensional Edwards-Anderson Ising Spin Glass

open access: yes, 2001
Recently, it has been conjectured that the statistics of extremes is of relevance for a large class of correlated system. For certain probability densities this predicts the characteristic large $x$ fall-off behavior $f(x)\sim\exp (-a e^x)$, $a>0$. Using
A.T. Ogielski   +20 more
core   +1 more source

Predicting Loss of Ambulation in Limb Girdle Muscular Dystrophy R9

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Limb girdle muscular dystrophy type R9 (LGMDR9) results from biallelic variants in FKRP. There is limited data to predict loss of ambulation (LOA) among those with LGMDR9. Methods Participants in an ongoing dystroglycanopathy natural history study (NCT00313677) with FKRP variants who had achieved ambulation and were more than 3 ...
Chandra L. Miller   +6 more
wiley   +1 more source

Peak finding through Scan Statistics

open access: yes, 2003
We discuss the conditions under which Scan Statistics can be fruitfully implemented to signal a departure from the underlying probability model that describes the experimental data.
Alm   +17 more
core   +1 more source

Immune‐Driven Expression in Inclusion Body Myositis With T‐Cell Large Granular Lymphocytic Leukemia

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives T‐cell large granular lymphocytic leukemia (T‐LGLL), reported in up to 58% of inclusion body myositis (IBM) patients, is a rare leukemia of cytotoxic or less commonly helper T cells. The range of myopathies in T‐LGLL and the impact of coexisting T‐LGLL in IBM are not well understood. Our objectives are to investigate the spectrum of
Pannathat Soontrapa   +10 more
wiley   +1 more source

Development of a Prediction Model for Progression Risk in High‐Grade Gliomas Based on Habitat Radiomics and Pathomics

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu   +14 more
wiley   +1 more source

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