Results 131 to 140 of about 102,167 (290)

Liquid biopsy‐based diagnostic evaluation of hypermethylated CpG sites for ovarian cancer diagnosis

Molecular Oncology, EarlyView.
This schematic outlines the workflow from biomarker identification to duplex MethyLight assay validation for epithelial ovarian cancer diagnosis using cfDNA‐based liquid biopsy. Initial screening of hypermethylated CpG candidates (cg02957270, cg10061138 cg00480298, COL2A1) was performed in tissue using ARMS‐PCR, COBRA, qPCR and image analysis. Selected
Deepa Bisht, Sameer Gupta, Amrita Chaurasia, Manisha Sachan   +3 more
wiley   +1 more source

Disrupted Brain Network Measures in Parkinson’s Disease Patients with Severe Hyposmia and Cognitively Normal Ability

Brain Sciences
Neuroscience has revolved around brain structural changes, functional activity, and connectivity alteration in Parkinson’s Disease (PD); however, how the network topology organization becomes altered is still unclear, specifically in Parkinson’s patients
Karthik Siva, Palanisamy Ponnusamy, Malmathanraj Ramanathan   +2 more
doaj   +1 more source

PeakCNV: A multi-feature ranking algorithm-based tool for genome-wide copy number variation-association study. [PDF]

Comput Struct Biotechnol J, 2022
Labani M, Afrasiabi A, Beheshti A, Lovell NH, Alinejad-Rokny H.   +4 more
europepmc   +1 more source

PAK1 activation drives divergent resistance mechanisms to aromatase inhibition and tamoxifen in a luminal: A breast cancer model

Molecular Oncology, EarlyView.
Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller, Janina Müller, Efstathios‐Iason Vlachavas, Lukas Beumers, Lena Fleischhacker, Sara Burmester, Angelika Wörner, Sabine Karolus, Dominic Helm, Cindy Körner, Stefan Wiemann   +10 more
wiley   +1 more source

The feature ranking grouping process of the IG-GPSO.

(A)Accuracy of the feature ranking grouping process. (B)The number of feature subsets of the feature ranking grouping process.
Lisha Sun (12331415), Juan Zhang (48597), Zhaozhao Xu (18136788), Hong Wang (13528), Mengjiao Zhai (18136791), Fangyuan Yang (2567629)   +5 more
core   +1 more source

A novel feature ranking criterion for supervised interval valued feature selection for classification

, 2017
In this paper, a novel feature ranking criterion for selecting interval valued features in supervised environment is introduced. The introduced feature ranking criterion works on uni-variate interval valued data.
D.S. Guru, N. Vinay Kumar, Vinay Kumar, N., Guru, D. S.   +3 more
core   +1 more source

Enhancing Supervised Model Performance in Credit Risk Classification Using Sampling Strategies and Feature Ranking

Big Data and Cognitive Computing
For the financial health of lenders and institutions, one important risk assessment called credit risk is about correctly deciding whether or not a borrower will fail to repay a loan.
Niwan Wattanakitrungroj, Pimchanok Wijitkajee, Saichon Jaiyen, Sunisa Sathapornvajana, Sasiporn Tongman   +4 more
doaj   +1 more source

Feature Ranking and Modeling of Mineral Effects on Reservoir Rock Surface Chemistry Using Smart Algorithms. [PDF]

ACS Omega, 2022
Mohammed I, Al Shehri D, Mahmoud M, Kamal MS, Alade OS.   +4 more
europepmc   +1 more source

ZW4864‐mediated inhibition of the β‐catenin/BCL9/BCL9L complex reveals therapeutic potential in bladder cancer

Molecular Oncology, EarlyView.
BCL9 and BCL9L drive bladder cancer progression by enhancing β‐catenin signaling, promoting proliferation, migration, invasion, and organoid growth. Genetic depletion of BCL9(L) suppresses malignant phenotypes, while pharmacological disruption of the β‐catenin/BCL9(L) complex with ZW4864 inhibits canonical Wnt signaling and tumor‐associated cellular ...
Roland Kotolloshi, Mandy Berndt‐Paetz, Eileen Lerner, Gregoire Najjar, Anca Azoitei, Krishna Pal Singh, Shailendra Kumar Gupta, Olaf Wolkenhauer, Cagatay Günes, Otmar Huber, Marc‐Oliver Grimm, Daniel Steinbach   +11 more
wiley   +1 more source

A exible model-free prediction-based framework for feature ranking

, 2021
Despite the availability of numerous statistical and machine learning tools for joint feature modeling, many scientists investigate features marginally, i.e., one feature at a time.
Tong, Xin, Li, Jingyi Jessica, Chen, Yiling Elaine   +2 more
core   +1 more source