Results 61 to 70 of about 2,690,463 (245)
Prospecting the protein design landscape
FEBS Letters, EarlyView.This review outlines the current state of various protein design approaches. We discuss the current possibilities enabled by recently released tools, highlight future avenues to pursue in protein design, and underscore the crucial role of key databases and resources for successful protein design workflows.
Jakob R. Riccabona +4 more
wiley +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
A Clustering Approach by SSPCO Optimization Algorithm Based on Chaotic Initial Population [PDF]
Journal of Electrical and Computer Engineering Innovations, 2016 Assigning a set of objects to groups such that objects in one group or cluster are more similar to each other than the other clusters’ objects is the main task of clustering analysis.
R. Omidvar, H. Parvin, A. Eskandari
doaj +1 more source
Molecular Oncology, EarlyView.The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka +9 more
wiley +1 more source
An Efficient k-modes Algorithm for Clustering Categorical Datasets [PDF]
, 2020 Mining clusters from datasets is an important endeavor in many applications. The k-means algorithm is a popular and efficient distribution-free approach for clustering numerical-valued data but can not be applied to categorical-valued observations. The k-
Maitra, Ranjan, Dorman, Karin
core
Parallel Density-Based Clustering Algorithm by Using Weighted Grid and Information Entropy
Jisuanji kexue yu tansuo, 2020 Aiming at the problems of unreasonable division of data gridding, low accuracy of clustering results and low efficiency of parallelization in big data clustering algorithm based on density, this paper proposes a density-based clustering algorithm by ...
HU Jian, XU Kaibin, MAO Yimin
doaj +1 more source
Performance Comparison Of Evolutionary Algorithms For Image Clustering [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 Evolutionary computation tools are able to process real valued numerical sets in order to extract suboptimal solution of designed problem. Data clustering algorithms have been intensively used for image segmentation in remote sensing applications ...
P. Civicioglu +5 more
doaj +1 more source
Molecular Oncology, EarlyView.Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur +11 more
wiley +1 more source
Research on Clustering Algorithm in Clustering MANET
工程科学与技术, 2008 : To enhance stability of the MANET network with hierarchical structure and reduce the cost for calculation and communication, an improved weight-based clustering algorithm is proposed.
GUO Dongjun +4 more
doaj
Diversity-induced Multi-view Subspace Clustering Algorithm with Grouping Effect [PDF]
Jisuanji gongchengThe multi-view subspace clustering algorithm, a type of multi-view clustering algorithm, emphasizes discovering potential subspaces in multi-view data and clustering based on these subspaces.
ZHANG Yuechen, GE Hongwei, LI Ting
doaj +1 more source