Results 51 to 60 of about 192,464 (184)

Single‐Cell and Spatial Omics: Methods and Applications

MedComm, Volume 7, Issue 4, April 2026.
Systematically summarized the breakthrough sequencing technologies and computational methods for single‐cell and spatial omics across multiple omics layers, including genome, epigenome, transcriptome, proteome, and metabolome. State‐of‐the‐art methods for multi‐omics integration, cross‐modal integration, and cross‐scale integration were reviewed, with ...
Xiaoping Cen, Xiaolan Huang, Enjin Deng, Xue Gong, Na Tan, Jifeng Ye, Yin Wang, Roland Eils, Qun Luo, Yixue Li, Fangfang Qu   +10 more
wiley   +1 more source

A New Approach to LL and LR Parsing [PDF]

, 2015
Cílem této práce je vytvořit nový efektivní způsob syntaktické analýzy propojením LL a LR přístupů. Pro demonstrační účely je zhotoven nový programovací jazyk podle vzoru programovacího jazyka PHP. Tento jazyk je rozdělen na části, kde pro každou část je
Martiček, Štefan
core  

Assessment of Sensitivity and Specificity of Common Sensory Tests in Diagnosing Digital Nerve Lacerations

Muscle &Nerve, Volume 73, Issue 4, Page 559-565, April 2026.
ABSTRACT Introduction/Aims Digital nerve lacerations are common. Current methods employed to differentiate intact and transected digital nerves lack diagnostic accuracy. This may result in patients with intact nerves undergoing unnecessary surgery. The objective of the study was to determine the best diagnostic method for detecting true sensory nerve ...
Joshua N. Wong, Jashan Saini, Matthew W. T. Curran, Jaret L. Olson, Michael J. Morhart, K. Ming Chan   +5 more
wiley   +1 more source

An Empirical Evaluation of Probabilistic Lexicalized Tree Insertion Grammars

, 1998
We present an empirical study of the applicability of Probabilistic Lexicalized Tree Insertion Grammars (PLTIG), a lexicalized counterpart to Probabilistic Context-Free Grammars (PCFG), to problems in stochastic natural-language processing. Comparing the
Hwa, Rebecca
core   +2 more sources

Supervised learning of protein variant effects across large‐scale mutagenesis datasets

Protein Science, Volume 35, Issue 4, April 2026.
Abstract The increasing availability of data from multiplexed assays of variant effects (MAVEs) enables supervised model training against large quantities of experimental data to learn sequence‐function relationships. Variant effect scores from MAVEs can, however, be influenced by the experimental method and library composition, resulting in experiment‐
Thea K. Schulze, Lasse M. Blaabjerg, Matteo Cagiada, Kresten Lindorff‐Larsen   +3 more
wiley   +1 more source

Self‐Admitted Technical Debt Detection Approaches: A Decade Systematic Review

Journal of Software: Evolution and Process, Volume 38, Issue 4, April 2026.
This systematic literature review traces the evolution of self‐admitted technical debt (SATD) detection from heuristic approaches to machine learning, deep learning, and Transformer‐based models. We synthesize the literature by categorizing detection techniques, levels of automation, and evaluation practices, and we identify persistent gaps in ...
Edi Sutoyo, Andrea Capiluppi
wiley   +1 more source

GumDrop at the DISRPT2019 Shared Task: A Model Stacking Approach to Discourse Unit Segmentation and Connective Detection

, 2019
In this paper we present GumDrop, Georgetown University's entry at the DISRPT 2019 Shared Task on automatic discourse unit segmentation and connective detection.
Gong, Mackenzie, Liu, Yan, Liu, Yang, Peng, Siyao, Yu, Yue, Zeldes, Amir, Zhu, Yilun   +6 more
core   +1 more source

Comprehensive Profiling of N6‐methyladnosine (m6A) Readouts Reveals Novel m6A Readers That Regulate Human Embryonic Stem Cell Differentiation

Advanced Science, Volume 13, Issue 18, 27 March 2026.
This research deciphers the m6A transcriptome by profiling its sites and functional readout effects: from mRNA stability, translation to alternative splicing, across five different cell types. Machine learning model identifies novel m6A‐binding proteins DDX6 and FXR2 and novel m6A reader proteins FUBP3 and L1TD1.
Zhou Huang, Rucong Liu, Zibaguli Wubulikasimu, Wanqing Zhao, Jiaqi Huang, Jiaxuan Wang, Tianyuan Zhang, Rui Fan, Wei Kong, Qinghua Cui, Yang Li, Yuan Zhou   +11 more
wiley   +1 more source

(Generalized) LR parsing

, 1991
This paper is a short introduction to the research in LR parsing and its applications. It is concerned with the history of LR grammars and languages, LR parsing and parser optimization, generaliza­tions of the LR grammar definition and pars­ing method, automatic parser construction, error handling and LR parsing for natural language.
openaire   +3 more sources

Enhancing Electricity Price Prediction Accuracy With an Attention Mechanism‐LSTM Hybrid Model

Engineering Reports, Volume 8, Issue 3, March 2026.
This study proposes an ATT‐LSTM framework for short‐term electricity price forecasting, integrating meteorological data, historical prices, and system load. With careful preprocessing, feature engineering, and attention mechanisms, the model delivers accurate and interpretable predictions of price volatility.
Huidan Zhuo, Yingya Wang, Shaojie Li, Hongwei Ma, Yun Wang, Runze Li, Guodong Liu   +6 more
wiley   +1 more source