To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley +1 more source
Effective Lightweight Learning-to-Rank Method Using Unified Term Impacts
In this study, we propose and evaluate a novel learning-to-rank (L2R) approach that produces results on par with those of the state-of-the-art L2R methods while being computationally effective.
Sheila Da N. Silva +3 more
doaj +1 more source
Image restoration with group sparse representation and low‐rank group residual learning [PDF]
Zhaoyuan Cai +5 more
openalex +1 more source
Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova +25 more
wiley +1 more source
DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances [PDF]
Xiaodong Gu, Kang Min Yoo, Jung-Woo Ha
openalex +1 more source
A Multi-Perspective Learning to Rank Approach to Support Children's Information Seeking in the Classroom [PDF]
Garrett Allen +4 more
openalex +1 more source
Rethinking plastic waste: innovations in enzymatic breakdown of oil‐based polyesters and bioplastics
Plastic pollution remains a critical environmental challenge, and current mechanical and chemical recycling methods are insufficient to achieve a fully circular economy. This review highlights recent breakthroughs in the enzymatic depolymerization of both oil‐derived polyesters and bioplastics, including high‐throughput protein engineering, de novo ...
Elena Rosini +2 more
wiley +1 more source
Learning to rank quantum circuits for hardware-optimized performance enhancement [PDF]
We introduce and experimentally test a machine-learning-based method for ranking logically equivalent quantum circuits based on expected performance estimates derived from a training procedure conducted on real hardware.
Gavin S. Hartnett +5 more
doaj +1 more source
Skellam Rank: Fair Learning to Rank Algorithm Based on Poisson Process and Skellam Distribution for Recommender Systems [PDF]
Hao Wang
openalex +1 more source
Interplay between RNA‐protein interactions and RNA structures in gene regulation
Methodological advances in mapping transcriptome‐wide RNA‐protein interactions and RNA structures have started to uncover the potential of RNP conformations in gene regulation. Competing RNA–RNA, RNA‐protein and protein–protein interactions shape the compaction and function of RNPs throughout their lifetime and may provide novel therapeutic targets in ...
Jenni Rapakko +2 more
wiley +1 more source

