Results 101 to 110 of about 3,745,728 (280)

Sequential feature selection for classification [PDF]

, 2011
In most real-world information processing problems, data is not a free resource; its acquisition is rather time-consuming and/or expensive. We investigate how these two factors can be included in supervised classication tasks by deriving classication ...
Rückstieß, Thomas, Christian Osendorfer, Patrick van der Smagt, Thomas Rückstieß, Osendorfer, Christian, van der Smagt, Patrick   +5 more
core   +1 more source

Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences

Advanced Science, EarlyView.
This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu, Pan Zhang, Shangqian Wu, Hao Sun, Minwei Li, Sophia Tsoka, Zizhang Sheng, Lei Deng   +7 more
wiley   +1 more source

Coixenolide Enhances Antitumor Immunity of Cytotoxic CD8+ T Cells by Inhibiting S100A8/A9‐CD36 Axis in Obesity‐Associated Pancreatic Adenocarcinoma

Advanced Science, EarlyView.
Pancreatic adenocarcinoma (PAAD) remains highly lethal with limited treatment options. This study demonstrates that coixenolide, a bioactive compound from Coix lacryma‐jobi L. and a key component of the clinically approved Kanglaite injection, exhibits enhanced antitumor efficacy in high‐fat diet (HFD)‐induced obese mice bearing PAAD tumors compared to
Kaidi Chen, Rong Chen, Wei Li, Bin Song, Ruiying Zhang, Lewei Dai, Yuwei Qi, Ruqian Chen, Yifan Xu, Hangbin Li, Jingyi Huang, Fangping Wu, Jianan Peng, Xinyu Wang, Yang Xiong, Chaofeng Mu, Guilin Cheng, Zhaoshen Li, Shanming Ruan, Lei Huang, Mancang Gu   +20 more
wiley   +1 more source

Unsupervised feature selection based on incremental forward iterative Laplacian score. [PDF]

Artif Intell Rev, 2023
Jiang J, Zhang X, Yang J.
europepmc   +1 more source

Single‐Cell Dissection of Therapy‐Induced Remodeling Uncovers a Fibroblast‐Driven Immunosuppressive Niche and Targetable Vulnerabilities in Lethal Prostate Cancer

Advanced Science, EarlyView.
Single‐cell longitudinal profiling reveals that androgen‐deprivation therapy induces a DPT+ fibroblast‐complement axis that suppresses macrophage inflammation and drives CD8+ T cell exhaustion in prostate cancer. Concurrently, resistant epithelial subpopulations persist and engage TSPAN1‐ and NRXN1‐mediated programs promoting CRPC and neuroendocrine ...
Yang Chen, Dandan Dong, Jinling Liao, Naikai Liao, Mengqi Liu, Qin Zhang, Siting Chen, Qi Liu, Ying Lu, Tianyu Li, Chunlin Zou, Qiong Song, Qiuyan Wang, Jian Liang, Qiji Xie, Chengyang Li, Mengyun Wang, Jiwen Cheng, Zengnan Mo, Gong‐Hong Wei   +19 more
wiley   +1 more source

Deep unsupervised feature selection by discarding nuisance and correlated features. [PDF]

Neural Netw, 2022
Shaham U, Lindenbaum O, Svirsky J, Kluger Y.   +3 more
europepmc   +1 more source

Practical Feature Subset Selection for Machine Learning [PDF]

, 1998
Machine learning algorithms automatically extract knowledge from machine readable information. Unfortunately, their success is usually dependant on the quality of the data that they operate on.
Lloyd A. Smith, Hall, Mark A., Mark A. Hall, Smith, Lloyd A.   +3 more
core  

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

Algorithmic Stability and Generalization of an Unsupervised Feature Selection Algorithm. [PDF]

Adv Neural Inf Process Syst, 2021
Wu X, Cheng Q.
europepmc   +1 more source

Bi-Level Unsupervised Feature Selection

CoRR
Unsupervised feature selection (UFS) is an important task in data engineering. However, most UFS methods construct models from a single perspective and often fail to simultaneously evaluate feature importance and preserve their inherent data structure, thus limiting their performance.
Jingjing Liu 0004, Xiansen Ju, Xianchao Xiu, Wanquan Liu   +3 more
openaire   +3 more sources