Results 191 to 200 of about 452,858 (310)

mRNALocator-imb: an imbalance-tolerant ensemble framework integrating random forest and transformer for mRNA subcellular localization prediction. [PDF]

Front Genet
Hu J, Liu H, Wang L, Wu H.
europepmc   +1 more source

Random forest Gini importance favors SNPs with large minor allele frequency [PDF]

, 2011
Bermejo, Justo Lorenzo, Lorenzo Bermejo, Justo, Boulesteix, Anne-Laure, Bender, Andreas, Strobl, Carolin   +4 more
core   +1 more source

Machine‐Learning Microfluidic Minute‐Scale Microorganism Metrics Monitoring(M6)

Advanced Science, EarlyView.
ABSTRACT On‐site monitoring of microorganisms remains challenging because of low concentrations, strong background interference, and dynamic aerosol diffusion, particularly for aerosol‐transmitted pathogens. Here, we report a rapid detection platform that integrates a Puri‐focusing microfluidic chip, electrochemical impedance spectroscopy (EIS), and ...
Ning Yang, Jiahao Ding, Si Chen, Lijie Yan, Shichao Ding, Lavonda Li, Junyi Sun, Haodong Liu, Tongge Li, Ning Liu, Mingji Wei, Xiaoyong Zhu, Xiaobo Zou, Shouqi Yuan, Xingcai Zhang   +14 more
wiley   +1 more source

An integrative multiomics random forest framework for robust biomarker discovery. [PDF]

Gigascience
Zhang W, Huang H, Wang L, Lehmann BD, Chen XS.   +4 more
europepmc   +1 more source

Cuproptosis and Mitophagy Mediated by the THUMPD1/IGF2R‐Dependent Suppression of AKT and Activation of AMPK Signaling Suppress Lung Adenocarcinoma Progression

Advanced Science, EarlyView.
THUMPD1 drives a tumor‐suppressive signaling cascade in lung adenocarcinoma by promoting IGF2R expression. IGF2R associates with PPP2R1A to suppress AKT and activate AMPK, leading to SLC31A1 upregulation and copper accumulation. Elevated copper disrupts mitochondrial metabolism and induces excessive mitophagy, thereby restraining tumor growth and ...
Kai Wu, Bo Qin, Zhuoyu Gu, Weizheng Ding, Xiaoming Chen, Kaishang Zhang, Yujin Qiao, Shuang Yuan, Song Zhao, Xiangnan Li, Peng Zhang   +10 more
wiley   +1 more source

Exploring Random Forest in Genetic Risk Score Construction. [PDF]

Genet Epidemiol
Venkat V, Clark K, Jeng XJ, Yao TC, Tsai HJ, Lu TP, Hsiao TH, Lin CH, Holloway S, Hoyo C, Chou SY, Wang H, Lee WP, Wang LS, Tzeng JY.   +14 more
europepmc   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

Retraction Note: A hybrid LSTM random forest model with grey wolf optimization for enhanced detection of multiple bearing faults. [PDF]

Sci Rep
Djaballah S, Saidi L, Meftah K, Hechifa A, Bajaj M, Zaitsev I.   +5 more
europepmc   +1 more source

Streaming Random Forests [PDF]

11th International Database Engineering and Applications Symposium (IDEAS 2007), 2007
Hanady M. Abdulsalam, David B. Skillicorn, Patrick Martin 0001   +2 more
openaire   +1 more source

Single‐Cell Dissection of Tumor‐Infiltrating Lymphocytes Reveals Cellular Architecture Predictive of Therapeutic Efficacy in Acral Melanoma

Advanced Science, EarlyView.
Autologous tumor‐infiltrating lymphocyte (TIL) therapy shows promising efficacy in acral melanoma, yet determinants of durable response remain unclear. By integrating single‐cell transcriptomics and TCR sequencing, this study reveals that TIL products enriched for T follicular helper and intermediate exhausted T cells establish persistent clonal ...
Chao Zhang, Wanyi Xiao, Hongru Shen, Fenge Li, Ting Li, Weihong Zhang, Haotian Liu, Ziwei Gao, Hongyu Wang, Xiubao Ren, Kexin Chen, Xiangchun Li, Jilong Yang   +12 more
wiley   +1 more source