Results 71 to 80 of about 203,293 (263)
Dissecting Pirtobrutinib Resistance in Mantle Cell Lymphoma Through Single‐Cell Multi‐Omics
ABSTRACT Pirtobrutinib (PBN), a non‐covalent BTK inhibitor, has been approved by the FDA for relapsed/refractory mantle cell lymphoma (MCL); however, resistance to PBN has been observed. To dissect the molecular dynamics driving PBN resistance, we performed integrative single‐cell multi‐omic profiling (scRNA‐seq, scATAC‐seq, and scDNA‐seq) on ...
Fangfang Yan +10 more
wiley +1 more source
Robot introspection aids robots to understand what they do and how they do it. Previous robot introspection techniques have often used parametric hidden Markov models or supervised learning techniques, implying that the number of hidden states or classes
Hongmin Wu, Yisheng Guan, Juan Rojas
doaj +1 more source
HIPPI: highly accurate protein family classification with ensembles of HMMs
Background Given a new biological sequence, detecting membership in a known family is a basic step in many bioinformatics analyses, with applications to protein structure and function prediction and metagenomic taxon identification and abundance ...
Nam-phuong Nguyen +3 more
doaj +1 more source
Objective Still disease represents a prototypical polygenic systemic autoinflammatory disease, characterized by recurrent systemic inflammation and dysregulation of innate immunity. Despite extensive clinical characterization, familial clustering Still disease remains unreported.
Longfang Chen +23 more
wiley +1 more source
Hidden Markov models applied to a subsequence of the Xylella fastidiosa genome
Dependencies in DNA sequences are frequently modeled using Markov models. However, Markov chains cannot account for heterogeneity that may be present in different regions of the same DNA sequence.
Silva Cibele Q. da
doaj
On Geometric Ergodicity of Skewed - SVCHARME models
Markov Chain Monte Carlo is repeatedly used to analyze the properties of intractable distributions in a convenient way. In this paper we derive conditions for geometric ergodicity of a general class of nonparametric stochastic volatility models with ...
Asai +31 more
core +1 more source
Abstract Anatomy and physiology are foundational to health science education, yet student engagement in these modules often declines during later years of study. This discursive article aims to describe a teaching intervention which increased student engagement and provide educator reflection of implementation and improvement over time.
Nicolene Jooste, Asma Shaikh‐Kader
wiley +1 more source
Hidden Markov Models in Speech Recognition
Voice control is one of the perspective areas of interdisciplinary field called Human Machine Interface (HMI). By the voice control of machines, we usually deal with the recognition of commands from previously defined set.
Jan Krajcovic +2 more
doaj
Markov Observation Models and Deepfakes
Herein, expanded Hidden Markov Models (HMMs) are considered as potential deepfake generation and detection tools. The most specific model is the HMM, while the most general is the pairwise Markov chain (PMC). In between, the Markov observation model (MOM)
Michael A. Kouritzin
doaj +1 more source
ABSTRACT The concept of predictive maintenance in advanced manufacturing systems is crucial from the point of view of resource efficiency in the era of high competitiveness forced by energy transformation in the digital economy. Against the backdrop of sustainability and the opportunities a data cooperative offers, the combination of predictive ...
Christian Schachtner +6 more
wiley +1 more source

