Results 81 to 90 of about 286,227 (342)

Bias of area counted from sub-pixel map: Origin and correction

Science of Remote Sensing, 2022
With the increasingly widespread use of sub-pixel mapping techniques in land cover/use mapping, more accurate area information is often required for a specific land cover type in a particular study region. However, the bias of area counted from sub-pixel
Qi Dong, Xuehong Chen, Jin Chen, Dameng Yin, Chishan Zhang, Fei Xu, Yuhan Rao, Miaogen Shen, Yang Chen, Alfred Stein   +9 more
doaj  

EMT‐associated bias in the Parsortix® system observed with pancreatic cancer cell lines

Molecular Oncology, EarlyView.
The Parsortix® system was tested for CTC enrichment using pancreatic cancer cell lines with different EMT phenotypes. Spike‐in experiments showed lower recovery of mesenchymal‐like cells. This was confirmed with an EMT‐inducible breast cancer cell line.
Nele Vandenbussche, Renske Imschoot, Béatrice Lintermans, Lode Denolf, Joachim Taminau, Charlotte Fieuws, Geert Berx, Kris Gevaert, Kathleen B. M. Claes   +8 more
wiley   +1 more source

Estimation Bias in Maximum Entropy Models [PDF]

Entropy, 2013
Maximum entropy models have become popular statistical models in neuroscience and other areas in biology and can be useful tools for obtaining estimates of mutual information in biological systems. However, maximum entropy models fit to small data sets can be subject to sampling bias; i.e., the true entropy of the data can be severely underestimated ...
Macke, Jakob H., Murray, Iain, Latham, Peter E.   +2 more
openaire   +4 more sources

Cytomegalovirus infection is common in prostate cancer and antiviral therapies inhibit progression in disease models

Molecular Oncology, EarlyView.
Human cytomegalovirus infection is common in normal prostate epithelium, prostate tumor tissue, and prostate cancer cell lines. CMV promotes cell survival, proliferation, and androgen receptor signaling. Anti‐CMV pharmaceutical compounds in clinical use inhibited cell expansion in prostate cancer models in vitro and in vivo, motivating investigation ...
Johanna Classon, Moa Stenudd, Margherita Zamboni, Kanar Alkass, Carl‐Johan Eriksson, Lars Pedersen, Alrik Schörling, Anna Thoss, Anders Bergh, Pernilla Wikström, Hans‐Olov Adami, Henrik Toft Sørensen, Henrik Druid, Jonas Frisén   +13 more
wiley   +1 more source

Variance Estimation for Logistic Regression in Case-cohort Studies

Journal of Epidemiology
Background: The logistic regression analysis proposed by Schouten et al (Stat Med. 1993;12:1733–1745) has been a standard method in current statistical analysis of case-cohort studies, and it enables effective estimation of risk ratios from selected ...
Hisashi Noma
doaj   +1 more source

Association of high‐dose radioactive iodine therapy with PPM1D‐mutated clonal hematopoiesis in older individuals

Molecular Oncology, EarlyView.
In thyroid cancer patients, high‐dose (≥7.4 GBq) radioactive iodine therapy (RAIT) was associated with a higher prevalence of clonal hematopoiesis (variant allele frequency >2%) in individuals aged ≥50 years (OR = 2.44). In silico analyses showed that truncating PPM1D mutations conferred a selective advantage under these conditions.
Jaeryuk Kim, Sungwoo Bae, Jaeyong Choi, Sun‐Wha Im, Bukyoung Cha, Gyeongseo Jung, Sun Wook Cho, Eul‐Ju Seo, Young Ah Lee, Jin Chul Paeng, Young Joo Park, Jong‐Il Kim   +11 more
wiley   +1 more source

Comprehensive profiling of lncRNAs and mRNAs enriched in small extracellular vesicles for early noninvasive detection of colorectal cancer: diagnostic panel assembly and extensive validation

Molecular Oncology, EarlyView.
Small extracellular vesicles are a promising source of diagnostic molecules. We conducted a comprehensive study, including transcriptome profiling and RT‐qPCR validation on large cohorts of samples. Diagnostic panels enabling sensitive detection of colorectal cancer and precancerous lesions were established. Some molecules were differentially expressed
Petra Vychytilova‐Faltejskova, Marketa Pavlikova, Lucie Pifkova, Robin Jugas, Tana Machackova, Lenka Radova, Milana Sachlova, Renata Bartosova, Tetiana Samoilenko, Zuzana Feckova, Jana Orlickova, Erika Slamova, Elleni Ponechal Michu, Dagmar Al Tukmachi, Michaela Ruckova, Martina Vodinska, Jan Kotoucek, Tina Catela Ivkovic, Marie Boudna, Lucia Bohovicova, Teodor Stanek, Jana Halamkova, Martin Svoboda, Vladimir Prochazka, Tomas Grolich, Zdenek Kala, Ondrej Slaby   +26 more
wiley   +1 more source

Bias Correction and Out-of-Sample Forecast Accuracy [PDF]

The least squares (LS) estimator suffers from signicant downward bias in autoregressive models that include an intercept. By construction, the LS estimator yields the best in-sample fit among a class of linear estimators notwithstanding its bias.
Durmaz, Nazif, Kim, Hyeongwoo
core   +1 more source

Pengaruh ukuran sampel dan intraclass correlation coefficients (ICC) terhadap bias estimasi parameter multilevel latent variable modeling: studi dengan simulasi Monte Carlo

Jurnal Penelitian dan Evaluasi Pendidikan, 2017
Studi ini menggunakan simulasi Monte Carlo dilakukan untuk melihat pengaruh ukuran sampel dan intraclass correlation coefficients (ICC) terhadap bias estimasi parameter multilevel latent variable modeling.
Muhammad Dwirifqi Kharisma Putra, Jahja Umar, Bahrul Hayat, Agung Priyo Utomo   +3 more
doaj   +1 more source

Beyond digital twins: the role of foundation models in enhancing the interpretability of multiomics modalities in precision medicine

FEBS Open Bio, EarlyView.
This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi, Xin Gao, Takashi Gojobori   +2 more
wiley   +1 more source