Results 61 to 70 of about 104,528 (306)
Modelling stem cell differentiation related processes—A practical overview for biologists
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
K nearest neighbor reinforced expectation maximization method [PDF]
K nearest neighbor and Bayesian methods are effective methods of machine learning. Expectation maximization is an effective Bayesian classifier. In this work a data elimination approach is proposed to improve data clustering. The proposed method is based
Mehmet Aci, Avci M., Aci M., Mutlu Avci
core +1 more source
The role of miR‐335‐5p in the redifferentiation of BRAF p.V600E thyroid cancers
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
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
Fast Approximated Nearest Neighbor Joins For Relational Database Systems [PDF]
K nearest neighbor search (kNN-Search) is a universal data processing technique and a fundamental operation for word embeddings trained by word2vec or related approaches.
Thiele, Maik +2 more
core +1 more source
Klasifikasi Berita Clickbait Menggunakan K-Nearest Neighbor (KNN)
Clickbait menjadi salah satu cara untuk mencari uang dengan meningkatkan traffic pengunjung dan pengunjung. Praktik clickbait pada saat ini sudah merambah pada dunia jurnalistik sedangkan sistem berita media online berbeda dengan media cetak. Sama halnya
Riska Sagita, Ultach Enri, Aji Primajaya
doaj +1 more source
A generalized k-nearest neighbor rule
A family of supervised, nonparametric decision rules, based on tolerance regions, is described which includes the k-Nearest Neighbor decision rules when there are two classes. There are two practical reasons for doing so: first, a family of decision rules similar to the k-Nearest Neighbor rules can be specified which applies to a broader collection of ...
Edward A. Patrick +1 more
openaire +1 more source
Asymptotics of k-nearest Neighbor Riesz Energies
We obtain new asymptotic results about systems of $ N $ particles governed by Riesz interactions involving $ k $-nearest neighbors of each particle as $N\to\infty$. These results include a generalization to weighted Riesz potentials with external field.
Hardin, Douglas P. +2 more
openaire +3 more sources
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source
Nearest-Neighbor and Non-Nearest-Neighbor Interactions between Substituents in the Benzene Ring. Experimental and Theoretical Study of Functionally Substituted Benzamides [PDF]
Standard molar enthalpies of formation of 2- and 4-hydroxybenzamides were measured by combustion calorimetry. Vapor pressures of benzamide and 2-hydroxybenzamide were derived by the transpiration method.
Vladimir N. Emel’yanenko (1290807) +2 more
core +1 more source

