Results 191 to 200 of about 2,065,553 (347)

Machine Learning and Statistics: A Study for assessing innovative Demand Forecasting Models

open access: yesIEEE International Symposium on Multimedia, 2020
N. Moroff, E. Kurt, J. Kamphues
semanticscholar   +1 more source

The Morphological, Behavioral, and Transcriptomic Life Cycle of Anthrobots

open access: yesAdvanced Science, EarlyView.
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]

open access: yesVet Med Sci
Herrera-Camacho J   +8 more
europepmc   +1 more source

Microbiome Single Cell Atlases Generated with a Commercial Instrument

open access: yesAdvanced Science, EarlyView.
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

Development and Validation of Machine Learning‐Based Marker for Early Detection and Prognosis Stratification of Nonalcoholic Fatty Liver Disease

open access: yesAdvanced Science, EarlyView.
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

Accurate Transcription Factor Activity Inference to Decipher Cell Identity from Single‐Cell Transcriptomic Data with MetaTF

open access: yesAdvanced Science, EarlyView.
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

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