Results 71 to 80 of about 17,286,028 (305)
Frontiers in Physics, 2022 Netted melons are welcomed for their soft and sweet pulp and strong aroma during the best-tasting period. The best-tasting period was highly correlated with its soluble solid content (SSC).
Chao Zhang +12 more
doaj +1 more source
, 2015 RF_BOTH.RData is the Random Forest model that was generated for predicting VIWTP habitat ...
Gergel, Sarah E. +5 more
core +1 more source
Overview of Random Forest Methodology and Practical Guidance with Emphasis on Computational Biology and Bioinformatics [PDF]
, 2012 The Random Forest (RF) algorithm by Leo Breiman has become a standard data analysis tool in bioinformatics. It has shown excellent performance in settings where the number of variables is much larger than the number of observations, can cope with ...
König, Inke R. +3 more
core +1 more source
Importance of random forest model to predict independent variables.
, 2022 Importance of random forest model to predict independent variables.
Li Sha-Sha (12884150) +2 more
core +1 more source
Accurate and noninvasive prostate cancer detection using plasma‐derived extracellular vesicle RNA
FEBS Open Bio, EarlyView.Plasma extracellular vesicles were captured with WGA‐conjugated magnetic beads and profiled for RNA biomarkers. A three‐RNA panel (NM_024955, NR_047469, and NR_002564) distinguished prostate cancer from healthy controls and benign prostatic hyperplasia, supporting a simple, noninvasive approach to improve prostate cancer detection.
Hanping Wei, Haoran Wu, Wei Feng
wiley +1 more source
Random Forest model error by district.
, 2016 Random Forest model error by district.
Weston Anderson (1654783) +3 more
core +1 more source
FEBS Open Bio, EarlyView.Using peripheral blood for determining B‐cell or T‐cell clonality is more reliable when we use cell‐free RNA (cfRNA) because cells release blood significantly more RNA than DNA. Next‐generation sequencing (NGS) of cfRNA allows us to evaluate fragment cfRNA and evaluate clonality reliably without the need for prior determination of the specific dominant
Adam Albitar +11 more
wiley +1 more source
Random forest machine learning model for garlic yield prediction.
, 2022 Random forest machine learning model for garlic yield prediction.
Douglas Luiz Grando (12557585) +9 more
core +1 more source
Aging and Cancer, EarlyView.Cancer treatment is associated with measurable acceleration of biological aging across epigenetic, telomere, senescence, and immune biomarkers. However, biomarker validation and interventional strategies remain limited, especially in hematologic malignancies, underscoring the need for standardized multi‐omic aging assessments and adequately powered ...
Moataz Ellithi +3 more
wiley +1 more source
Model forest development guide [PDF]
, 2000 Co-published by IMFNSFrench version available in IDRC Digital Library: Guide d'établissement d'une forêt modèleSpanish version available in IDRC Digital Library: Guía para el desarrollo del bosque modeloThe document provides information and guidelines to
International Model Forest Network Secretariat
core +1 more source