Results 131 to 140 of about 5,609,232 (306)

An experimental comparison of classification algorithms for hierarchical prediction of protein function [PDF]

, 2007
Some data can be naturally organised as a hierarchy of classes. The classification of data in such a hierarchy poses some unique challenges to data miners. One particular case of this is the classification of GPCR proteins by their function.
Matthew N. Davies, Timmis, Jon, Miguel Mendao, Flower, Darren R., Secker, Andrew D., Jon Timmis, Mendao, Miguel, Alex A. Freitas, Davies, Matthew N., Andrew Secker, Freitas, Alex A., Darren R. Flower   +11 more
core  

KOG functional classification.

, 2015
KOG functional classification.
Ran Tang (175386), YuMei Chang (758583), XuLing He (758584), LiQun Liang (758582)   +3 more
core   +1 more source

Bias-Adjusted Augmented Functional Random Forests for Interpretable Classification of Functional Trajectories

Epidemiology, Biostatistics and Public Health
Introduction Functional data analysis treats time-indexed observations as curves rather than isolated measurements, allowing classification models to exploit signal level, local velocity and curvature [1].
Annamaria Porreca, Fabrizio Maturo, Stefano Bonassi   +2 more
doaj   +1 more source

Epigenetic silencing of the liver‐specific lncRNA LUNAR promotes liver cancer progression via NOTCH activation

Molecular Oncology, EarlyView.
LUNAR is a liver‐specific long noncoding RNA (lncRNA) that is highly expressed in normal liver but becomes epigenetically silenced in hepatocellular carcinoma through promoter hypermethylation. Loss of LUNAR is associated with NOTCH activation, epithelial–mesenchymal transition, and metastasis, whereas restoring LUNAR restrains metastatic progression ...
Se Ha Jang, Hyung Seok Kim, Geum Ok Baek, Moon Gyeong Yoon, Su In Lee, Jee‐Yeong Jeong, Ji Eun Han, Soon Sun Kim, Jae Youn Cheong, Jung Woo Eun   +9 more
wiley   +1 more source

Modelling intra-daily volatility by functional data analysis: an empirical application to the spanish stock market [PDF]

, 2009
We propose recent functional data analysis techniques to study the intra-daily volatility. In particular, the volatility extraction is based on functional principal components and the volatility prediction on functional AR(1) models.
Ruiz Ortega, Esther, Esther Ruiz, Kenedy Alva, Alva, Kenedy, Romo Urroz, Juan José, Romo, Juan, Ruiz, Esther, Juan Romo, Alva Chávez, Kenedy Pedro   +8 more
core   +1 more source

Translating whole‐genome doubling into precision medicine in cancer

Molecular Oncology, EarlyView.
Whole‐genome doubling creates a WGD‐positive tumor state characterized by persistent chromosomal instability, karyotypic diversification, and cellular stress. These same biological pressures drive aggressive tumor evolution while exposing therapeutic vulnerabilities, providing a rationale for WGD‐informed precision medicine. Whole‐genome doubling (WGD)
Sejung Lee, Junghyeok Lim, Jinhyuk Bhin
wiley   +1 more source

Single‐cell DNA methylation profiling: Technologies, computation, and applications in precision oncology

Molecular Oncology, EarlyView.
Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley   +1 more source

Functional model-based curve clustering for discovering temporal patterns in chronological corpora

, 2012
In many applications of textual analysis corpora are characterized by a temporal structure, i.e. they include texts which have a chronological order (e.g.: political discourses, institutional documents, articles published in newspapers, messages posted ...
Trevisani, Matilde, TUZZI, ARJUNA, A. Tuzzi   +2 more
core  

CEACAM1 participation in breast cancer progression

Molecular Oncology, EarlyView.
In invasive breast cancer (BC), CEACAM1 shifts from an apical to a uniform membranous/cytoplasmic pattern, or is lost, as tumors dedifferentiate, inversely tracking the Ki‐67 proliferative index. In MCF‐7 cells, only CEACAM1‐4L suppresses proliferation, repressing cell cycle and growth factor genes.
Mykola Lyndin, Irina Kube‐Golovin, Anatolii Romaniuk, Gunther Wennemuth   +3 more
wiley   +1 more source

Improving functional classification performance through diversity: the functional voting approach

In recent decades, Functional Data Analysis (FDA) has become widely popular as a framework for ana- lyzing data that are inherently functions in the domain of time.
Maturo Fabrizio, Romano Elvira, Riccio Donato   +2 more
core