Development and Validation of Atomic Group Descriptors for Substituent Effects. [PDF]
Lefrancois-Gagnon K, Mawhinney R.
europepmc +1 more source
Machine Learning and Statistics: A Study for assessing innovative Demand Forecasting Models
N. Moroff, E. Kurt, J. Kamphues
semanticscholar +1 more source
The Morphological, Behavioral, and Transcriptomic Life Cycle of Anthrobots
DNA is thought to determine shape, behavior, and lifespan, with developmental plasticity reserved for stem cells, embryos, and species like amphibia. How much morphogenetic plasticity do adult somatic human cells exhibit? Anthrobots are a self‐organizing, motile synthetic living construct made of genetically normal human epithelial cells.
Gizem Gumuskaya+6 more
wiley +1 more source
Body Weight Estimation in Holstein × Zebu Crossbred Heifers: Comparative Analysis of XGBoost and LightGBM Algorithms. [PDF]
Herrera-Camacho J+8 more
europepmc +1 more source
Microbiome Single Cell Atlases Generated with a Commercial Instrument
Single cell sequencing is valuable for dissecting complex systems and uncovering unique features in individual cell types. However, tools for single cell microbial analysis are limited. Easily Accessible Single microbe sequencing (EASi‐seq), which adapts a commercially available single cell platform for efficient sequencing of single microbial genomes ...
Xiangpeng Li+8 more
wiley +1 more source
Predicting outcomes after hospitalisation for COPD exacerbation using machine learning. [PDF]
Wu CY+5 more
europepmc +1 more source
This study constructs a stacked multimodal machine learning model for nonalcoholic fattly liver disease (NAFLD) by integrating genetic and clinical features, and synthesize an in‐silico quantitative marker (ISNLD) that enables personalized risk stratification for intrahepatic and extrahepatic outcomes of high‐risk individuals of NAFLD.
Lushan Xiao+14 more
wiley +1 more source
Pan-cancer predictive survival model development and evaluation using electronic health record and genetic data across 10 cancer types. [PDF]
Gammall J, Lai AG.
europepmc +1 more source
Interpreting Image Patterns for Agricultural Sprays Using Statistics and Machine Learning Techniques [PDF]
Steven A. Cryer, John W. Raymond
openalex +1 more source
MetaTF is a new computational framework that uses single‐cell RNA sequencing (scRNA‐seq) data to infer transcription factor activity with the aim to help in deciphering cells identity starting from a heterogeneous population, and apply it to characterize mouse hematopoietic stem cells and breast cancer epithelial cells, thus identifying a novel subset ...
Yongfei Hu+15 more
wiley +1 more source