Results 21 to 30 of about 708,374 (219)

Specific intracellular retention of circSKA3 promotes colorectal cancer metastasis by attenuating ubiquitination and degradation of SLUG

open access: yesCell Death and Disease, 2023
Our previous study demonstrated that tumor-suppressor circular RNAs (circRNAs) can be specifically secreted outside of colorectal cancer (CRC) cells within exosomes to maintain tumor cell fitness.
Jingwen Deng   +12 more
doaj   +1 more source

Unsupervised Hierarchical Classification Approach for Imprecise Data in the Breast Cancer Detection

open access: yesEntropy, 2022
(1) Background: in recent years, a lot of the research of statistical methods focused on the classification problem in presence of imprecise data. A particular case of imprecise data is the interval-valued data. Following this research line, in this work
Mario Fordellone, Paolo Chiodini
doaj   +1 more source

Enhancement of Mammographic Images Using Histogram-Based Techniques for Their Classification Using CNN

open access: yesSensors, 2022
In the world, one in eight women will develop breast cancer. Men can also develop it, but less frequently. This condition starts with uncontrolled cell division brought on by a change in the genes that regulate cell division and growth, which leads to ...
Khalaf Alshamrani   +3 more
doaj   +1 more source

Pan-cancer analysis of the prevalence and associated factors of lung metastasis and the construction of the lung metastatic classification system

open access: yesFrontiers in Surgery, 2022
This study first presents an analysis of the prevalence and associated factors of the lung metastasis (LM) database and then uses this analysis to construct an LM classification system.
Xiaolong Lv   +5 more
doaj   +1 more source

Cancer Classification from Gene Expression Using Ensemble Learning with an Influential Feature Selection Technique

open access: yesBioMedInformatics
Uncontrolled abnormal cell growth, known as cancer, may lead to tumors, immune system deterioration, and other fatal disability. Early cancer identification makes cancer treatment easier and increases the recovery rate, resulting in less mortality.
Nusrath Tabassum   +3 more
doaj   +1 more source

A Survey on Hybrid Feature Selection Methods in Microarray Gene Expression Data for Cancer Classification

open access: yesIEEE Access, 2019
The emergence of DNA Microarray technology has enabled researchers to analyze the expression level of thousands of genes simultaneously. The Microarray data analysis is the process of finding the most informative genes as well as remove redundant and ...
Nada Almugren, Hala Alshamlan
doaj   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen   +23 more
wiley   +1 more source

Cancer classification in high dimensional microarray gene expressions by feature selection using eagle prey optimization

open access: yesFrontiers in Genetics
Microarray gene expression data have emerged as powerful tools in cancer classification and diagnosis. However, the high dimensionality of these datasets presents significant challenges for feature selection, leading to the development of various ...
Swetha Dhamercherla   +2 more
doaj   +1 more source

Cup‐Like Nuclei Is a Hallmark of DUX4/ERG Acute Lymphoblastic Leukemia and Reveals Cytoplasmic Mitochondria Accumulation

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Cup‐like nuclei are a distinctive morphological feature observed in certain cases of acute lymphoblastic leukemia (ALL). We provide evidence that they characterize DUX4/ERG ALL independently of IKZF1 deletion and reveal marked mitochondrial accumulation in this ALL subset.
Chloé Arfeuille   +9 more
wiley   +1 more source

Metrik Öğrenmesi Kullanarak Çeşitli Kanser Dokularına Ait Mikro Dizi Gen Verilerinin Sınıflandırılması

open access: yesDüzce Üniversitesi Bilim ve Teknoloji Dergisi, 2021
Kanserli dokuların heterojen doğası gereği birçok kanserin alt türü vardır, ve bu alt türler tespit edilmedikçe kanser tedavisi hedefi bulamaz. Mikrodizi gen teknolojisi ve veri teknolojisinin gelişmesiyle beraber, son yıllarda kanserli dokulara ait ...
Fırat İsmailoğlu
doaj   +1 more source

Home - About - Disclaimer - Privacy