Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field. [PDF]
Med Image Comput Comput Assist Interv, 2021 Lukyanenko S +10 more
europepmc +1 more source
Rainfall Shapes the Diversity of Soil Nitrogen‐Fixing Microorganisms Worldwide
Advanced Science, EarlyView.This study reveals the distinctive pattern and mechanism of rainfall driving the global biodiversity and biogeography of soil potential N‐fixing microorganisms, and constructs the theoretical framework. The results guide us on how to maintain ecosystem productivity under future climate changes (e.g., whether a specific region needs more N fertilizers ...
Bin Hua +18 more
wiley +1 more source
Sequential supervised learning and conditional random fields [PDF]
Supervised learning is concerned with discovering the relationship between example sets of features and their corresponding classes. The traditional supervised learning formulation assumes that all examples are independent from one another.
Ashenfelter, Adam J.
core +4 more sources
Advanced Science, EarlyView.Scheme of the KLF9/WTAP/YTHDF2/m6A/CSF1R regulatory axis in osteoclastogenesis and estrogen‐deficient osteoporosis. WTAP‐mediated m6A modification of Csf1r mRNA governs osteoclastogenesis via a YTHDF2‐mediated pathway. Pathological upregulation of KLF9 drives Wtap transcription, leading to increased m6A deposition on the 3’‐UTR of Csf1r mRNA.
Chen Shen +14 more
wiley +1 more source
Exchangeable Sequences Driven by an Absolutely Continuous Random Measure [PDF]
Let S be a Polish space and (Xn : n = 1) an exchangeable sequence of S-valued random variables. Let an(·) = P( Xn+1 in · | X1, . . . ,Xn) be the predictive measure and a a random probability measure on S such that an (weak) --> a a.s..
Pietro Rigo +2 more
core
Advanced Science, EarlyView.MolDBG is a site‐aware, sequence‐only framework that unifies drug‐target affinity prediction, binding‐site identification, and affinity‐conditioned molecular generation for structured proteins. Guided by multi‐task binding‐site supervision, it aligns interaction‐critical residues before learning drug‐target representations and simultaneously infers ...
Gang Luo +6 more
wiley +1 more source
Quantum Conditional Random Field
, 2019 Conditional random field (CRF) is an important probabilistic machine learning model for labeling sequential data, which is widely utilized in natural language processing, bioinformatics and computer vision. However, training the CRF model is computationally intractable when large scale training samples are processed. Since little work has been done for
Wu, Yusen +5 more
openaire +2 more sources
Fzd7 Restrains Pink1‐Dependent Mitophagy in Suture Stem Cells to Maintain Cranial Suture Patency
Advanced Science, EarlyView.How suture stem cells fail to preserve cranial suture patency remains incompletely understood. Integrated single‐cell and high‐resolution spatial transcriptomic analyses identify reduced Fzd7 expression in Prrx1+ suture stem cells as an early feature of craniosynostosis.
Xinyan Chen +10 more
wiley +1 more source
Chinese-Named Entity Recognition From Adverse Drug Event Records: Radical Embedding-Combined Dynamic Embedding-Based BERT in a Bidirectional Long Short-term Conditional Random Field (Bi-LSTM-CRF) Model. [PDF]
JMIR Med Inform, 2021 Wu H +9 more
europepmc +1 more source
Conditional Linear Periodical Random Process as a Mathematical Model of Photoplethysmographic Signal
In this paper a new mathematical model of photoplethysmographic signal is proposed. This mathematical model is built as a conditional linear random process that allows representing main biophysical peculiarities both of the signal creation and of signal ...
Mlynko, Bogdana +3 more
core