Results 91 to 100 of about 4,871,983 (290)
DyProL: Dynamic Ensemble Representation Learning for Protein–Nucleic Acid Binding Site Prediction
Protein function is represented as a dynamic conformational ensemble rather than a single static structure. A multi‐conformation geometric attention framework aligns, clusters, and learns representative states to capture residue‐ and ensemble‐level signals. Integrating structural dynamics improves interpretable protein‐NA binding prediction and reveals
Pengpai Li +3 more
wiley +1 more source
A generalization of the negative binomial distribution
Background & Aim: Consider a sequence of independent Bernoulli trials with p denoting the probability of success at each trial. With this definition, the probability that the nth success proceed by r failures follows the negative binomial distribution ...
Maryam Nazemipour, Mahmood Mahmoudi
doaj
Bounds for median and 50 percetage point of binomial and negative binomial distribution
Binomial, Negative Binomial Distribution Function, Operating Characteristic Function, 50 Percentage Point, Median,
Rainer Göb
core +1 more source
Mesenchymal GSCs preferentially uptake palmitic acid, thereby promoting ZDHHC12‐mediated LDHA palmitoylation. This modification enhances LDHA enzymatic activity, drives glycolytic reprogramming, and facilitates exosomal LDHA‐mediated TAM regulation.
Zijie Gao +20 more
wiley +1 more source
A type of Binomial mixture distribution
A brief introduction to a type of binomial mixture distribution, generated from a beta exponential distribution.
Ruth Ogal (554154)
core +1 more source
Phase separation of SF3B1 acts as a key regulatory mechanism for dynamic alternative splicing throughout early mouse embryogenesis. Its absence triggers extensive splicing errors, which induce persistent DNA damage, defective cell cycle progression, and failed cell lineage commitment, and ultimately hinder the normal growth and development of ...
Kang Zhao +15 more
wiley +1 more source
Applying Negative Binomial Distribution in Diagnostic Classification Models for Analyzing Count Data. [PDF]
Liu R, Heo I, Liu H, Shi D, Jiang Z.
europepmc +1 more source
Single‐Cell Profiling Reveals Clonally Expanded CX3CR1+ T Cells in Anti‐NMDA Receptor Encephalitis
CX3CR1+ T cells are associated with peripheral and central immune alterations in anti‐NMDA receptor encephalitis (NMDAR‐E). They show potential responsiveness to GluN1 (NR1) peptides, potential interactions with peripheral B cells, clonal expansion, increased CD137/CD154 expression, and inflammatory cytokine production. Their preferential cerebrospinal
Lin Yan +13 more
wiley +1 more source
One Parameter Polynomial Exponential Distribution with Binomial Mixture
A further generalized version of one parameter polynomial exponential distribution with binomial probability mass as a mixture called a Binomial Mixture One Parameter Polynomial Exponential Distribution (BMOPPE) is proposed in the article.
Molay Kumar Ruidas +4 more
doaj +1 more source
Logistic Regression Model for a Bivariate Binomial Distribution with Applications in Baseball Data Analysis. [PDF]
Han Y, Kim J, Ng HKT, Kim SW.
europepmc +1 more source

