Results 91 to 100 of about 646,279 (275)
Plecstatin inhibits hepatocellular carcinoma tumorigenesis and invasion through cytolinker plectin
Molecular Oncology, EarlyView.The ruthenium‐based metallodrug plecstatin exerts its anticancer effect in hepatocellular carcinoma (HCC) primarily through selective targeting of plectin. By disrupting plectin‐mediated cytoskeletal organization, plecstatin inhibits anchorage‐dependent growth, cell polarization, and tumor cell dissemination.
Zuzana Outla +10 more
wiley +1 more source
Model-based adaptive cluster sampling
, 2004 The general theory for making maximum likelihood (model-based) inference from sample survey data is presented in Breckling et al. (1994). We present an overview of this theory and use this to create a model-based approach to analysing sparse, clustered data. The ideas contained within Breckling et al.
openaire +2 more sources
A Mixture Model for Rare and Clustered Populations Under Adaptive Cluster Sampling
Bayesian Analysis, 2016 Rare populations, such as endangered species, drug users and individuals infected by rare diseases, tend to cluster in regions. Adaptive cluster designs are generally applied to obtain information from clustered and sparse populations. The aim of this work is to propose a unit-level mixture model for clustered and sparse populations when the data are ...
Gonçalves, Kelly C. M. +1 more
openaire +3 more sources
Molecular Oncology, EarlyView.Nanosecond infrared laser (NIRL) low‐volume sampling combined with shotgun lipidomics uncovers distinct lipidome alterations in oropharyngeal squamous cell carcinoma (OPSCC) of the palatine tonsil. Several lipid species consistently differentiate tumor from healthy tissue, highlighting their potential as diagnostic markers.
Leonard Kerkhoff +11 more
wiley +1 more source
Molecular Oncology, EarlyView.This study shows that copy number variations (CNVs) can be reliably detected in formalin‐fixed paraffin‐embedded (FFPE) solid cancer samples using ultra‐low‐pass whole‐genome sequencing, provided that key (pre)‐analytical parameters are optimized.
Hanne Goris +10 more
wiley +1 more source
Generalized Exponential-Cum-Exponential Estimator in Adaptive Cluster Sampling
, 2015 In this paper, a generalized exponential-cum-exponential estimator is proposed utilizing the two auxiliary variables based on average values of the networks in adaptive cluster sampling.
M. S. Chaudhry, M. Hanif
semanticscholar +1 more source
Molecular Oncology, EarlyView.Single circulating tumor cells (sCTCs) from high‐grade serous ovarian cancer patients were enriched, imaged, and genomically profiled using WGA and NGS at different time points during treatment. sCTCs revealed enrichment of alterations in Chromosomes 2, 7, and 12 as well as persistent or emerging oncogenic CNAs, supporting sCTC identity.
Carolin Salmon +9 more
wiley +1 more source
A scalable load balancing strategy based on distributed server cluster
Dianxin kexue, 2017 A distributed database load balancing algorithm based on software defined networking was proposed,which separated the data,control and application to calculate the actual load of a single server in the server cluster.By querying the streams sampling ...
Qiao SUN +3 more
doaj +2 more sources
, 2015 Adaptive cluster sampling is an efficient method of estimating the parameters of rare and clustered populations. The method mimics how biologists would like to collect data in the field by targeting survey effort to localised areas where the rare ...
M. Salehi +4 more
semanticscholar +1 more source
Molecular 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