Results 31 to 40 of about 22,484,217 (350)

An Improved Heteroscedastic Modeling Method for Chest X-ray Image Classification with Noisy Labels

open access: yesAlgorithms, 2023
Chest X-ray image classification suffers from the high inter-similarity in appearance that is vulnerable to noisy labels. The data-dependent and heteroscedastic characteristic label noise make chest X-ray image classification more challenging. To address
Qingji Guan, Qinrun Chen, Yaping Huang
doaj   +1 more source

A comprehensive evaluation of module detection methods for gene expression data

open access: yesNature Communications, 2018
Modules composed of groups of genes with similar expression profiles tend to be functionally related and co-regulated. Here, Saelens et al evaluate the performance of 42 computational methods and provide practical guidelines for module detection in gene ...
Wouter Saelens   +2 more
doaj   +1 more source

Game Data Mining

open access: yes, 2013
During the years of the Information Age, technological advances in the computers, satellites, data transfer, optics, and digital storage has led to the collection of an immense mass of data on everything from business to astronomy, counting on the power of digital computing to sort through the amalgam of information and generate meaning from the data ...
Drachen, Anders   +4 more
openaire   +3 more sources

Radiogenomic-based prediction of genetic alterations in oncogenic signaling pathways in lung cancer

open access: yesEgyptian Journal of Medical Human Genetics
Rationale and objectives Lung adenocarcinoma, a type of non-small cell lung cancer (NSCLC), originates from the peripheral lung tissue and is the most prevalent histologic subtype, constituting around 40% of cases.
Priyadharshini Jayachandran   +2 more
doaj   +1 more source

Plecstatin inhibits hepatocellular carcinoma tumorigenesis and invasion through cytolinker plectin

open access: yesMolecular Oncology, EarlyView.
The ruthenium‐based metallodrug plecstatin exerts its anticancer effect in hepatocellular carcinoma (HCC) primarily through selective targeting of plectin. By disrupting plectin‐mediated cytoskeletal organization, plecstatin inhibits anchorage‐dependent growth, cell polarization, and tumor cell dissemination.
Zuzana Outla   +10 more
wiley   +1 more source

Combining Three Peripheral Blood Biomarkers to Stratify Rheumatoid Arthritis‐Associated Interstitial Lung Disease Risk

open access: yesArthritis Care &Research, Accepted Article.
Objective The purpose was to evaluate a biomarker score consisting of MUC5B rs35705950 promoter variant, plasma matrix metalloproteinase (MMP)‐7, and serum anti‐malondialdehyde‐acetaldehyde (anti‐MAA) antibody for RA‐associated interstitial lung disease risk stratification. Methods Using a multicenter cohort of US veterans with RA, we performed a cross‐
Kelsey Coziahr   +16 more
wiley   +1 more source

Anticipating On‐Target and Off‐Target Effects of CRISPR/Cas9 Genome Editing Via a Feedforward Neural Network Model

open access: yesMedicine Advances
Background Clustered regularly interspaced short palindromic repeats —CRISPR‐associated protein 9 (CRISPR/Cas9) is a gene editing technology that can deliver highly precise genome editing.
Pavithra Nagendran   +2 more
doaj   +1 more source

Automatic Landform Recognition from the Perspective of Watershed Spatial Structure Based on Digital Elevation Models

open access: yesRemote Sensing, 2021
Landform recognition is one of the most significant aspects of geomorphology research, which is the essential tool for landform classification and understanding geomorphological processes.
Siwei Lin, Nan Chen, Zhuowen He
doaj   +1 more source

Trace Nickel Activated Biphasic Core‐CuOii/Shell‐CuOi Secondary Microspheres Enable Room Temperature Parts‐Per‐Trillion‐Level NO2 Detection

open access: yesAdvanced Engineering Materials, EarlyView.
An idea of designing novel sensors is proposed by creating appropriate Schottky barriers and vacancies between isomorphous Core‐CuOii/ Shell‐CuOi secondary microspheres and enhancing catalytic and spill‐over effects, and electronegativity via spontaneous biphasic separation, self‐assembly, and trace‐Ni‐doping.
Bala Ismail Adamu   +8 more
wiley   +1 more source

What Do Large Language Models Know About Materials?

open access: yesAdvanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer   +2 more
wiley   +1 more source

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