Results 61 to 70 of about 23,776,838 (246)

Cancer‐associated mutations in endometriosis reframe a benign disease through molecular oncology

open access: yesMolecular Oncology, EarlyView.
This review aims to comprehensively analyse cancer‐associated somatic mutations (CAMs) present in endometriotic lesions, emphasizing their biological roles, spatial distribution and implications for translational applications in medicine. By contextualizing a benign state within a genomic framework, this analysis seeks to establish its value as a ...
Clarissa Mujacic   +15 more
wiley   +1 more source

Gut microbiota alterations in patients with non‐small‐cell lung cancer undergoing chemoradiotherapy

open access: yesMolecular Oncology, EarlyView.
We investigated the impact of concurrent chemoradiotherapy (CRT) on the gut microbiota in patients with locally advanced non‐small‐cell lung cancer. Overall gut microbiota composition remained largely stable throughout CRT while antibiotic exposure may influence microbial diversity.
Hanne Marte Nymoen   +19 more
wiley   +1 more source

Predictive Analytics Data Mining in Imbalanced Medical Dataset

open access: yesJurnal Komputer Terapan, 2016
Predictive Analytics Data Mining in Imbalanced Medical ...
Dini Hidayatul Qudsi
doaj  

Spatial heterogeneity of hotspot mutations and clonal relatedness in ovarian endometrioid carcinoma

open access: yesMolecular Oncology, EarlyView.
Spatially resolved analysis revealed heterogeneous distributions of selected cancer‐associated mutations within ovarian endometrioid carcinomas. Shared mutations between paired endometrial and ovarian tumors supported clonal relatedness. These findings highlight the value of sampling multiple tumor regions when interpreting molecular profiles ...
Takahito Ashihara   +10 more
wiley   +1 more source

Classification of imbalanced data by combining the complementary neural network and SMOTE algorithm [PDF]

open access: yes, 2010
In classification, when the distribution of the training data among classes is uneven, the learning algorithm is generally dominated by the feature of the majority classes.
Wong, K.W., Fung, C.C., Jeatrakul, P.
core  

An AUC-based Permutation Variable Importance Measure for Random Forests [PDF]

open access: yes, 2012
The random forest (RF) method is a commonly used tool for classification with high dimensional data as well as for ranking candidate predictors based on the so-called random forest variable importance measures (VIMs).
Silke Janitza   +5 more
core   +1 more source

Hyperosmotic stress‐induced redistribution of pre‐mRNA cleavage factor I subunits is associated with shifts in alternative polyadenylation

open access: yesFEBS Open Bio, EarlyView.
Hyperosmotic stress triggers the relocation of the CFIm complex from the nucleus to the cytoplasm. This shift creates a nuclear ‘stoichiometric bottleneck’, limiting CFIm availability for mRNA processing. Consequently, specific mRNAs like NUDT21 and DICER1 undergo targeted 3′UTR shortening, demonstrating how spatial protein dynamics drive rapid ...
Hitomi Soumiya   +2 more
wiley   +1 more source

Evaluating the effect of γ‐oryzanol on MASLD pathology using a medaka fish model

open access: yesFEBS Open Bio, EarlyView.
This study explores a liver disease called MASLD, which is increasing worldwide and can lead to serious damage. Researchers used medaka fish instead of rodents to test a food compound, γ‐oryzanol. Fish fed this compound had less liver fat and healthier gut bacteria.
Yukako Ito   +7 more
wiley   +1 more source

Accurate and noninvasive prostate cancer detection using plasma‐derived extracellular vesicle RNA

open access: yesFEBS Open Bio, EarlyView.
Plasma extracellular vesicles were captured with WGA‐conjugated magnetic beads and profiled for RNA biomarkers. A three‐RNA panel (NM_024955, NR_047469, and NR_002564) distinguished prostate cancer from healthy controls and benign prostatic hyperplasia, supporting a simple, noninvasive approach to improve prostate cancer detection.
Hanping Wei, Haoran Wu, Wei Feng
wiley   +1 more source

Learning from Imbalanced Data Distribution

open access: yes, 2023
As a prominent component of artificial intelligence (AI), machine learning (ML) techniques play a significant role in the stunning achievement obtained by AI technologies in human society.
Wang, Wentao
core   +1 more source

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