Results 241 to 250 of about 2,663,721 (268)

Combining antibody conjugates with cytotoxic and immune‐stimulating payloads maximizes anti‐cancer activity

open access: yesMolecular Oncology, EarlyView.
Methods to improve antibody–drug conjugate (ADC) treatment durability in cancer therapy are needed. We utilized ADCs and immune‐stimulating antibody conjugates (ISACs), which are made from two non‐competitive antibodies, to enhance the entry of toxic payloads into cancer cells and deliver immunostimulatory agents into immune cells.
Tiexin Wang   +3 more
wiley   +1 more source

Tumor mutational burden as a determinant of metastatic dissemination patterns

open access: yesMolecular Oncology, EarlyView.
This study performed a comprehensive analysis of genomic data to elucidate whether metastasis in certain organs share genetic characteristics regardless of cancer type. No robust mutational patterns were identified across different metastatic locations and cancer types.
Eduardo Candeal   +4 more
wiley   +1 more source

Spreading potential in disease relevant networks: Predicting centralities in rural Northeast Madagascar. [PDF]

open access: yesPLOS Glob Public Health
DeSisto CMM   +10 more
europepmc   +1 more source
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Improved Sampling‐Importance Resampling and Reduced Bias Importance Sampling

Scandinavian Journal of Statistics, 2003
Abstract. The sampling‐importance resampling (SIR) algorithm aims at drawing a random sample from a target distribution π. First, a sample is drawn from a proposal distributionq, and then from this a smaller sample is drawn with sample probabilities proportional to the importance ratios π/q.
Skare, Øivind   +2 more
openaire   +1 more source

The importance of importance sampling

Computing in Science & Engineering, 1999
Importance sampling is an underappreciated Monte Carlo technique. The authors have used it with great success. They share their insights. Importance sampling is designed to reduce the variance of the estimators for a given-size sample.
I. Beichl, F. Sullivan
openaire   +1 more source

Precomputed importance sampling

ACM SIGGRAPH 2008 posters, 2008
We present a method for cosine-weighted importance sampling of environment maps. Our technique has no runtime overhead. It is well suited for real-time ray tracing and for algorithms that generate only a few shadow rays per primary ray. Both memory consumption and preprocessing time are very low.
Manfred Ernst, Günther Greiner
openaire   +1 more source

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