Effective analysis of high throughput screening (HTS) data requires automation of dose-response curve fitting for large numbers of datasets. Datasets with outliers are not handled well by standard non-linear least squares methods, and manual outlier removal after visual inspection is tedious and potentially biased. We propose robust non-linear regression via M-estimation as a statistical technique for automated implementation. The approach of finding M-estimates by Iteratively Reweighted Least Squares (IRLS) and the resulting optimization problem are described. Initial parameter estimates for iterative methods are important, so self-starting methods for our model are presented. We outline the software implementation, done in Matlab and deployed as an Excel application via the Matlab Excel Builder Toolkit. Results of M-estimation are compared with least squares estimates before and after manual editing.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.cmpb.2006.01.008 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Revealing miRNAs' Janus-Faced Nature: Transforming Cold Tumours into Immunotherapy Hotspots and Overcoming Chemoresistance.
Microrna
January 2025
Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, 20130, India.
MicroRNA (miRNA) modulation has emerged as a promising strategy in cancer immunotherapy, particularly in converting "cold" tumors with limited immune cell infiltration into "hot" tumors responsive to immunotherapy. miRNAs regulate immune cell recruitment and activation within the tumor microenvironment, influencing tumor behavior targeting specific miRNAs in cold tumors aims to enhance the immune response, potentially improving therapeutic efficacy. Despite ongoing research challenges, such as tumor complexity and treatment resistance, miRNA-based therapies offer personalized approaches with potential ethical considerations.
View Article and Find Full Text PDFForsythiaside A Ameliorates Inflammation by Regulating the Autophagy in Methotrexate-induced Intestinal Mucositis.
Comb Chem High Throughput Screen
January 2025
Hebei Key Laboratory of Specialty Animal Germplasm Resources Exploration and Innovation, College of Animal Science and Technology, Hebei Normal University of Science and Technology, Qinhuangdao, China.
Background: Methotrexate (MTX) effectively eliminates cancerous cells but can also cause inflammation intestinal, known as mucositis. Forsythiaside A (FTA) from Forsythia suspensa has shown promise in relieving mucositis by targeting the NLRP3 pathways. Since NLRP3 inflammasome activation is negatively regulated by autophagy, this study explores how FTAmediated autophagy affects NLRP3 inflammasome in treating MTX-induced intestinal inflammation.
View Article and Find Full Text PDFAnalysis of stomatal characteristics of maize hybrids and their parental inbred lines during critical reproductive periods.
Front Plant Sci
January 2025
Beijing Key Lab of Digital Plant, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
The stomatal phenotype is a crucial microscopic characteristic of the leaf surface, and modulating the stomata of maize leaves can enhance photosynthetic carbon assimilation and water use efficiency, thereby playing a vital role in maize yield formation. The evolving imaging and image processing technologies offer effective tools for precise analysis of stomatal phenotypes. This study employed Jingnongke 728 and its parental inbred to capture stomatal images from various leaf positions and abaxial surfaces during key reproductive stages using rapid scanning electron microscopy.
View Article and Find Full Text PDFDFMA: an improved DeepLabv3+ based on FasterNet, multi-receptive field, and attention mechanism for high-throughput phenotyping of seedlings.
Front Plant Sci
January 2025
Institute of Crop Science, Huzhou Academy of Agriculture Sciences, Huzhou, China.
With the rapid advancement of plant phenotyping research, understanding plant genetic information and growth trends has become crucial. Measuring seedling length is a key criterion for assessing seed viability, but traditional ruler-based methods are time-consuming and labor-intensive. To address these limitations, we propose an efficient deep learning approach to enhance plant seedling phenotyping analysis.
View Article and Find Full Text PDFUnlocking High-Throughput Plasma-Catalytic Low-Temperature Oxidation of -Hexane over Single-Atom Ag/MnO Catalysts.
JACS Au
January 2025
College of Chemical and Biological Engineering, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China.
The total oxidation of -hexane, a hazardous volatile organic compound (VOC) emitted by the pharmaceutical industry, presents a significant environmental challenge due to limited catalyst activity at low temperatures and poor stability at high temperatures. Here, we present a novel approach that overcomes these limitations by employing single-atom Ag/MnO catalysts coupled with nonthermal plasma (NTP). This strategy achieves exceptional performance in -hexane oxidation at low temperatures, demonstrating 96.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!