Software Fault Localization through Aggregation-Based Neural Ranking for Static and Dynamic Features Selection. [PDF]
Sensors (Basel), 2021 Alhumam A.
europepmc +1 more source
Investigating transcription factor dynamics in health and disease using FRAP
FEBS Letters, EarlyView.FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source
Statistical modeling for simultaneous data clustering, features selection, and outliers rejection [PDF]
, 2010 Model-based approaches and in particular finite mixture models are widely used for data clustering, which is a crucial step in several applications of practical importance.
Almakadmeh, Khaled
core
Conserved binding mode but diverse interfaces of MreC‐PBP2 interactions
FEBS Letters, EarlyView.The crystal structure of abMreC reveals a conserved two β‐barrel architecture and provides structural insights into its role within the bacterial elongasome. The abMreC–abPBP2 complex model identifies the molecular basis of MreC‐mediated PBP2 recognition, contributing to the regulation of peptidoglycan synthesis.
Hyunseok Jang +4 more
wiley +1 more source
, 2012 The main aim of the paper is comparison of the diagnostics features selection methods influence on regional objects linear classification using as an example official enviromental data on polish voivodeships. Three methods and their variations were used.
Tarka, D.
core
A Fundamental Framework for Analysis of Rainfall Prediction Features Significance
Journal of Informatics and Web EngineeringRainfall prediction efforts had been prevalent ever since the impact of climate change on occurrences of natural disasters globally. Implementation of machine and deep learning techniques on features that contribute to rainfall occurrences were ...
Ye Zhian Teoh, Yim Ling Loo
doaj +1 more source
An intelligence design for detection and classification of COVID19 using fusion of classical and convolutional neural network and improved microscopic features selection approach. [PDF]
Microsc Res Tech, 2021 Amin J +4 more
europepmc +1 more source
The role of miR‐335‐5p in the redifferentiation of BRAF p.V600E thyroid cancers
Molecular Oncology, EarlyView.The BRAF p.V600E mutation promotes thyroid cancer dedifferentiation and radioiodine resistance. Using a network approach, we identified miR‐335‐5p as a key regulator of BRAF‐mutated thyroid tumors. Restoring miR‐335‐5p increased thyroid‐specific gene expression and iodine uptake in cells and organoids.
Valeria Pecce +11 more
wiley +1 more source
Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
Molecular Oncology, EarlyView.This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source
, 2020 งานวิจัยนี้นำเสนอการจำแนกความคิดเห็นด้วยเทคนิคการเรียนรู้ของเครื่อง (Machine Learning) เพื่อสร้างโมเดลในการจำแนกความคิดเห็น ด้วยการเปรียบเทียบเพื่อคัดเลือกคุณลักษณะที่มีประสิทธิภาพในการจำแนกความคิดเห็น สำหรับการปรับปรุงหลักสูตร จากแบบสอบความคิดเห็นที่มีต่
แสนราช, จรัญ +1 more
core +1 more source