Results 251 to 260 of about 7,127,658 (298)

Random Forest and Feature Importance Measures for Discriminating the Most Influential Environmental Factors in Predicting Cardiovascular and Respiratory Diseases. [PDF]

Int J Environ Res Public Health
Cappelli F, Castronuovo G, Grimaldi S, Telesca V.   +3 more
europepmc   +1 more source

SPHINX31 acts as a SRPK1 inhibitor targeting the ATR/DNA‐PKcs/CHK1 replicative checkpoint to inhibit cell growth in non‐small cell lung cancer

Molecular Oncology, EarlyView.
The kinase SRPK1 directly interacts with the protein TOPBP1 and regulates the pre‐mRNA splicing of WIZ thereby contributing to the activation of the ATR/CHK1 replicative checkpoint in response to replicative stress. This allows cancer cells' genomic stability and survival.
Amani Shreim, Aurelie Genoux, Nadiia Zubchuk, Haoyang Zheng, Perla Salameh, Theo Ziegelmeyer, Fabien Dalonneau, Margot Rouchette, Christiane Oddou, Simona Miron, Helene Polveche, Adiilah Mamode Cassim, Carmen Garrido, Eleni Nikolakaki, Didier Auboeuf, Tao Jia, Sophie Zinn‐Justin, Beatrice Eymin   +17 more
wiley   +1 more source

Integrating Interpretability in Machine Learning and Deep Neural Networks: A Novel Approach to Feature Importance and Outlier Detection in COVID-19 Symptomatology and Vaccine Efficacy. [PDF]

Viruses
Jacob Khoury S, Zoabi Y, Scheinowitz M, Shomron N.   +3 more
europepmc   +1 more source

Mutant p53R273H disrupts PDPK1 homodimerization and contributes to PDPK1 activation

Molecular Oncology, EarlyView.
How mutant p53R273H drives AKT signaling is unclear. We show that p53R273H, but not wild‐type, directly binds PDPK1 via a mutation‐dependent conformational change. This interaction disrupts inhibitory PDPK1 homodimerization and enhances AKT phosphorylation.
Mei Chee Lim, Alvin Kunyao Guo, Yoko Itahana, Srinivasaraghavan Kannan, Valerie Goh, Mingmin Ong, Terina Yan Wen Tay, Weiying Ye, Sabhashina Radha Krishnan, Jun Nishiyama, Chandra S Verma, Koji Itahana   +11 more
wiley   +1 more source

XAI-TRIS: non-linear image benchmarks to quantify false positive post-hoc attribution of feature importance. [PDF]

Mach Learn
Clark B, Wilming R, Haufe S.
europepmc   +1 more source

Targeting the EpCAM‐AXL axis to overcome drug resistance in lung cancer

Molecular Oncology, EarlyView.
Lung cancer cells often evade therapy by hijacking signaling pathways. We reveal that cleaved EpCAM (sEpCAM) stabilizes the oncogenic protein AXL, driving NF‐κB and STAT3‐mediated chemoresistance. This EpCAM‐AXL axis identifies a high‐risk patient subset with poor prognosis.
Alexa Guerrero‐Alba, Mark Shacker, Timothy P. Fleming, Michael A. Smith, Ross M. Bremner, Narendra V. Sankpal   +5 more
wiley   +1 more source

Author Correction: Advancing aircraft engine RUL predictions: an interpretable integrated approach of feature engineering and aggregated feature importance. [PDF]

Sci Rep
Alomari Y, Andó M, Baptista ML.
europepmc   +1 more source

Feature importance feedback with Deep Q process in ensemble-based metaheuristic feature selection algorithms. [PDF]

Sci Rep
Potharlanka JL, M NB.
europepmc   +1 more source

Prediction of Hearing Help Seeking to Design a Recommendation Module of an mHealth Hearing App: Intensive Longitudinal Study of Feature Importance Assessment. [PDF]

JMIR Hum Factors
Angonese G, Buhl M, Kuhlmann I, Kollmeier B, Hildebrandt A.   +4 more
europepmc   +1 more source

Retracted: Feature Importance Score-Based Functional Link Artificial Neural Networks for Breast Cancer Classification. [PDF]

Biomed Res Int
International BR.
europepmc   +1 more source