Results 61 to 70 of about 24,502 (300)
Hijacking emergency granulopoiesis: Neutrophil ontogeny and reprogramming in cancer
Neutrophils are highly plastic innate immune cells; their functions in cancer extend beyond the tumour microenvironment. This Review summarises current understanding of neutrophil maturation and heterogeneity and highlights tumour‐induced granulopoiesis as a systemic programme that expands immature, immunosuppressive neutrophils via tumour‐derived ...
Gabriela Marinescu, Yi Feng
wiley +1 more source
On Normalized Mutual Information: Measure Derivations and Properties
Starting with a new formulation for the mutual information (MI) between a pair of events, this paper derives alternative upper bounds and extends those to the case of two discrete random variables.
Tarald O. Kvålseth
doaj +1 more source
Information Bottleneck Theory Based Exploration of Cascade Learning
In solving challenging pattern recognition problems, deep neural networks have shown excellent performance by forming powerful mappings between inputs and targets, learning representations (features) and making subsequent predictions.
Xin Du +2 more
doaj +1 more source
Interpreting the effects of DNA polymerase variants at the structural level
Using MAVISp and molecular dynamics simulations, we analyzed over 60 000 missense variants in POLE and POLD1 from ClinVar, COSMIC, cBioPortal, and saturation mutagenesis. Identified mechanistic indicators, including stability, binding, and long‐range, enable structural interpretation, providing ACMG‐like evidence for possible reclassification of VUS ...
Matteo Arnaudi +7 more
wiley +1 more source
T-value and mutual information as measures of the association strength in Serbian language [PDF]
Since the study of Meyer and Schvaneveldt (1971), a large number of researches have shown facilitation effect in cognitive processing of a given word when it is preceded by a semantically (i.e. associatively) related word.
Lisac Jelena, Milin Petar
doaj +1 more source
ennemi: Non-linear correlation detection with mutual information
We present ennemi, a Python package for correlation analysis based on mutual information (MI). MI is a measure of relationship between variables. Unlike Pearson correlation it is valid also for non-linear relationships, yet in the linear case the two are
Petri Laarne +2 more
doaj +1 more source
Hierarchical clustering using mutual information
We present a conceptually simple method for hierarchical clustering of data called mutual information clustering ( MIC) algorithm. It uses mutual information (MI) as a similarity measure and exploits its grouping property: The MI between three objects X,
P Grassberger +15 more
core +1 more source
On Suspicious Coincidences and Pointwise Mutual Information
Barlow (1985) hypothesized that the co-occurrence of two events $A$ and $B$ is "suspicious" if $P(A,B) \gg P(A) P(B)$. We first review classical measures of association for $2 \times 2$ contingency tables, including Yule's $Y$ (Yule, 1912), which depends
Williams, Christopher K. I.
core +1 more source
Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley +1 more source
Using diagnostic imaging, asymmetry in the mechanic of the left and right lungs has been discovered in unilateral lung disease. Unilateral lung disease might affect information interaction between two lungs, which is often neglected in the study of lung ...
Lianrong Zheng +5 more
doaj +1 more source

