Results 61 to 70 of about 29,999,610 (319)
New approach to Forecasting Agro-based statistical models [PDF]
Journal of Statistical Theory and Applications (JSTA), 2016 This paper uses various forecasting methods to forecast future crop production levels using time series data for four major crops in Pakistan: wheat, rice, cotton and pulses.
Muhammad Akram +3 more
doaj +1 more source
From omics to AI—mapping the pathogenic pathways in type 2 diabetes
FEBS Letters, EarlyView.Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan +2 more
wiley +1 more source
Discriminatory Accuracy of the Gail Model for Breast Cancer Risk Assessment among Iranian Women
Iranian Journal of Public Health, 2020 Background: The Gail model is the most well-known tool for breast cancer risk assessment worldwide. Although it was validated in various Western populations, inconsistent results were reported from Asian populations.
Sahar ROSTAMI +5 more
doaj +1 more source
ERBIN limits epithelial cell plasticity via suppression of TGF‐β signaling
FEBS Letters, EarlyView.In breast and lung cancer patients, low ERBIN expression correlates with poor clinical outcomes. Here, we show that ERBIN inhibits TGF‐β‐induced epithelial‐to‐mesenchymal transition in NMuMG breast and A549 lung adenocarcinoma cell lines. ERBIN suppresses TGF‐β/SMAD signaling and reduces TGF‐β‐induced ERK phosphorylation.
Chao Li +3 more
wiley +1 more source
Measuring the Quality of Multivariate Statistical Models
Acta Universitatis Lodziensis. Folia Oeconomica, 2018 Assessing the quality of a statistical model is very important, since it is crucial for the utility of the modelling process’ outcome. There are many different ways of measuring statistical models quality.
Michał Trzęsiok
doaj +1 more source
A Statistical Model for Helices with Applications [PDF]
Biometrics, 2018 Summary Motivated by a cutting edge problem related to the shape of -helices in proteins, we formulate a parametric statistical model, which incorporates the cylindrical nature of the helix. Our focus is to detect a “kink,” which is a drastic change in the axial direction of the helix.
Mardia, KV, Sriram, K, Deane, CM
openaire +4 more sources
FEBS Letters, EarlyView.C‐mannosylation is a unique form of protein glycosylation. In this study, we demonstrated that ADAMTS1 is C‐mannosylated at Trp562 and Trp565 in human testicular germ cell tumor NEC8 cells. We found that C‐mannosylation of ADAMTS1 is essential for its secretion, processing, enzymatic activity, and ability to promote vasculogenic mimicry. These findings
Takato Kobayashi +5 more
wiley +1 more source
Quarkonium formation in statistical and kinetic models
, 2005 I review the present status of two related models addressing scenarios in which the formation of heavy quarkonium states in high energy heavy ion collisions proceed via "off-diagonal" combinations of a quark and an antiquark.
Andronic +12 more
core +1 more source
Pathloss Measurements and Prediction using Statistical Models
MATEC Web of Conferences, 2016 There is a major expansion in the market of wireless communications services in urban areas. New regulatory environments as well as rivalry in the communications industry necessitate that these systems be arranged quickly and at low cost.
Nadir Zia +2 more
doaj +1 more source
FEBS Letters, EarlyView.The Arabidopsis mutants hls1 hlh1 and amp1 lamp1 exhibit pleiotropic developmental phenotypes. Although the functions of the causative genes remain unclear, they act in the same genetic pathway and are thought to generate non‐cell‐autonomous signals.
Takashi Nobusawa, Makoto Kusaba
wiley +1 more source