Results 81 to 90 of about 1,780,327 (266)

Disordered but rhythmic—the role of intrinsic protein disorder in eukaryotic circadian timing

FEBS Letters, EarlyView.
Unstructured domains known as intrinsically disordered regions (IDRs) are present in nearly every part of the eukaryotic core circadian oscillator. IDRs enable many diverse inter‐ and intramolecular interactions that support clock function. IDR conformations are highly tunable by post‐translational modifications and environmental conditions, which ...
Emery T. Usher, Jacqueline F. Pelham
wiley   +1 more source

Assessing Measurement Equivalence in Ordered-Categorical Data

Psicológica, 2012
La invarianza factorial estudia de la equivalencia métrica en el marco del modelo lineal del factor común por medio de la comparación de los parámetros del modelo de medida en los grupos de interés.
Paula Elosua
doaj  

Understanding and Enhancement of Internal Clustering Validation Indexes for Categorical Data

Algorithms, 2018
Clustering is one of the main tasks of machine learning. Internal clustering validation indexes (CVIs) are used to measure the quality of several clustered partitions to determine the local optimal clustering results in an unsupervised manner, and can ...
Xuedong Gao, Minghan Yang
doaj   +1 more source

PARP inhibitors elicit distinct transcriptional programs in homologous recombination competent castration‐resistant prostate cancer

Molecular Oncology, EarlyView.
PARP inhibitors are used to treat a small subset of prostate cancer patients. These studies reveal that PARP1 activity and expression are different between European American and African American prostate cancer tissue samples. Additionally, different PARP inhibitors cause unique and overlapping transcriptional changes, notably, p53 pathway upregulation.
Moriah L. Cunningham, Jasibel Vasquez‐Gonzalez, Samantha M. Barnada, Salome Tchotorlishvili, Latese Jones, Ryan Maguire, Genevieve Lewis, Kinza Rizwan, Jenny Deng, Salma Koachar, Drithi Patel, Hailey Shankle, Tessa Mulders, Namra Ajmal, Charalambos Solomides, Emad S. Alnemri, Teresa F. Alnemri, Ayesha A. Shafi, Leonard G. Gomella, Wm Kevin Kelly, Steven B. McMahon, Matthew J. Schiewer   +21 more
wiley   +1 more source

Value of geographical origin and parental genealogy in the Selection of Oil Palm (Elaeis guineensis Jacq.) in Côte d'Ivoire [PDF]

, 2009
In genetic improvement of oil palm (Elaeis guineensis Jacq.), categorical variable represented a main part of information used to determine differentiation among populations of genitors selected from the reciprocal recurrent selection program (RRS).
Adon, Benjamin, Allou, Désiré, Bakoumé, Claude, Durand-Gasselin, Tristan, Konan, Eugéne E., N'Guetta, Assanvo Simon-Pierre, Sangare, Abdourahamane   +6 more
core  

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

Molecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan, Irina Primac, Emre Etlioglu, Laurens Debruyne, Ann Janssen, Magy Sallam, Kevin Tabury, Roel Quintens, Wiebren Tjalma, Mohammed Abderrafi Benotmane   +9 more
wiley   +1 more source

Assessing Measurement Equivalence in Ordered-Categorical Data

Psicológica, 2011
La invarianza factorial estudia de la equivalencia métrica en el marco del modelo lineal del factor común por medio de la comparación de los parámetros del modelo de medida en los grupos de interés.
Paula Elosua
doaj  

Clustering categorical data streams

Journal of Computational Methods in Sciences and Engineering, 2011
In this paper, we propose an efficient clustering algorithm for analyzing categorical data streams. It has been proved that the proposed algorithm uses small memory footprints. We provide empirical analysis on the performance of the algorithm in clustering both synthetic and real data streams.
He, Zengyou, Xu, Xiaofei, Deng, Shengchun, Huang, Joshua Zhexue   +3 more
openaire   +2 more sources

Integrated genomic and proteomic profiling reveals insights into chemoradiation resistance in cervical cancer

Molecular Oncology, EarlyView.
A comprehensive genomic and proteomic analysis of cervical cancer revealed STK11 and STX3 as a potential biomarkers of chemoradiation resistance. Our study demonstrated EGFR as a therapeutic target, paving the way for precision strategies to overcome treatment failure and the DNA repair pathway as a critical mechanism of resistance.
Janani Sambath, Irene A. George, Srikanth S. Manda, Prasanth Ariyannur, Ekta R. Dhawale, Raja Sekhar Kommu, Rajan Datar, Darshana Patil, Vinita Trivedi, Manisha Singh, Kumar Prabhash, Sewanti Limaye, Richa Chauhan, Prashant Kumar   +13 more
wiley   +1 more source

A Multivariate Fuzzy Weighted K-Modes Algorithm with Probabilistic Distance for Categorical Data

Journal of ICT Research and Applications
Data clustering is a data mining approach that assigns similar data to the same group. Traditionally, cluster similarity considers all attributes equally, but in real-world applications, some attributes may be more important than others. Therefore, this
Ren-Jieh Kuo, Maya Cendana, Thi Phuong Quyen Nguyen, Ferani E. Zulvia   +3 more
doaj   +1 more source