Results 101 to 110 of about 2,181,691 (306)

Unique circulating miRNAome signatures captured with distinct molecular states in Lynch syndrome and sporadic colorectal cancer

open access: yesMolecular Oncology, EarlyView.
Circulating microRNA profiles distinguish nonmalignant Lynch syndrome from cancer‐associated Lynch syndrome, sporadic colorectal cancer, and healthy controls. Age‐stratified analysis reveals disease‐specific regulatory states, and a six‐miRNA panel shows concordant separation in an independent colorectal tissue cohort.
Ramadhani Salum Chambuso   +5 more
wiley   +1 more source

A non-parametric investigation of risk premia [PDF]

open access: yes
This paper studies determinants of risk premia using a non-parametric term-structure model of the corporate spread. The model, which measures the extra return of defaultable corporate bonds on their government counterparts, involves the rate of inflation,
Peroni, Chiara
core  

Characterization of therapeutic antibodies targeting lymphatic and vascular resistance factor for the treatment of hypervascularized and highly metastatic cancers

open access: yesMolecular Oncology, EarlyView.
LVRF (lymphatic and vascular resistance factor) is a VEGFA splice variant upregulated in response to anti‐angiogenic therapy that fosters tumor adaptation through enhanced vascularization, lymphangiogenesis, and metastatic dissemination. Targeting LVRF with fully human neutralizing antibodies disrupts these processes and limits resistant tumor growth ...
Marion David   +12 more
wiley   +1 more source

Non parametric Bayesian estimation for Hawkes processes

open access: yes, 2014
Non parametric Bayesian estimation for Hawkes processes.
Rousseau, Judith   +2 more
core   +3 more sources

PARAMETRIC IDENTIFICATION IN KNOWLEDGE ESTIMATION MODELING

open access: yesВестник Российского экономического университета имени Г. В. Плеханова, 2017
The assessment of quality of training is the cornerstone of processes of stimulation of educational activity of the student, quality management of training, management of training as process of development of new knowledge etc.
Irina N. Maslyakova   +1 more
doaj   +1 more source

Nonparametric Estimation and Symmetry Tests for Conditional Density Functions. [PDF]

open access: yes
We suggest two new methods for conditional density estimation. The first is based on locally fitting a log-linear model, and is in the spirit of recent work on locally parametric techniques in density estimation.
Hyndman, R.J., Yao, Q.
core  

Optimization of seminal extracellular vesicle isolation protocols for cancer biomarker analysis using proteomic profiling

open access: yesMolecular Oncology, EarlyView.
This paper shows that size‐exclusion chromatography and sequential centrifugation applied to seminal plasma enrich for different populations of extracellular vesicles. This may significantly affect the detection and analysis of extracellular vesicle‐associated cancer biomarkers.
Elen Telumyan   +8 more
wiley   +1 more source

Experimental and Ray-Tracing-Based Comparison of Virtual-Array and Mechanically Scanned Directional Channel Sounding in Indoor Millimeter-Wave Channels

open access: yesIEEE Access
This paper presents a systematic experimental and simulation-based comparison of two fundamentally different millimetre-Wave (mmW) double-directional channel sounding strategies in a controlled indoor line-of-sight (LoS) environment over the 26–40
Jose-Maria Molina-Garcia-Pardo   +4 more
doaj   +1 more source

Engineering IL‐4 resistant proinflammatory human myeloid cells for cancer immunotherapy

open access: yesMolecular Oncology, EarlyView.
We developed a scalable workflow to generate proinflammatory human myeloid cells. CRISPR/Cas9‐edited CD34+ hematopoietic stem and progenitor cells were expanded and differentiated with M‐CSF. Deletion of STAT6 or STAT6/NFKB1 enhanced macrophage proinflammatory gene expression and cytokine secretion in the presence of IL‐4 while maintaining antibody ...
Theresa Barberi, Alan D. Friedman
wiley   +1 more source

The Detection Method of the Tobit Model in a Dataset

open access: yesStats
This article proposes an extension of detection methods for the Tobit model by generalizing existing approaches from cases with known parameters to more realistic scenarios where the parameters are unknown.
El ouali Rahmani, Mohammed Benmoumen
doaj   +1 more source

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