Cargando…

Short time-series microarray analysis: Methods and challenges

The detection and analysis of steady-state gene expression has become routine. Time-series microarrays are of growing interest to systems biologists for deciphering the dynamic nature and complex regulation of biosystems. Most temporal microarray data only contain a limited number of time points, gi...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wang, Xuewei, Wu, Ming, Li, Zheng, Chan, Christina
Formato:	Texto
Lenguaje:	English
Publicado:	BioMed Central 2008
Materias:	Commentary
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2474593/ https://www.ncbi.nlm.nih.gov/pubmed/18605994 http://dx.doi.org/10.1186/1752-0509-2-58

Ejemplares similares

A quantization method based on threshold optimization for microarray short time series
por: Di Camillo, Barbara, et al.
Publicado: (2005)

How cyanobacteria pose new problems to old methods: challenges in microarray time series analysis
por: Lehmann, Robert, et al.
Publicado: (2013)

Microarray foray
por: Coffey, Robert J, et al.
Publicado: (2000)

Comparison of Pattern Detection Methods in Microarray Time Series of the Segmentation Clock
por: Dequéant, Mary-Lee, et al.
Publicado: (2008)

Significance analysis of microarray transcript levels in time series experiments
por: Di Camillo, Barbara, et al.
Publicado: (2007)

Microarray Data Analysis of Gene Expression Evolution
por: Lin, Honghuang
Publicado: (2009)

The promise of microarrays in the management and treatment of breast cancer
por: Chang, Jenny C, et al.
Publicado: (2005)

Commentary: Short eyes and bigger challenges - Growing evidence in the management of pediatric nanophthalmos
por: Gurnani, Bharat, et al.
Publicado: (2022)

The Time Constant of Attentional Control: Short, Medium and Long (Infinite?)
por: Chelazzi, Leonardo, et al.
Publicado: (2018)

A New Modified Histogram Matching Normalization for Time Series Microarray Analysis
por: Astola, Laura, et al.
Publicado: (2014)

An evaluation of gastric adenocarcinoma-associated CircRNAs based on microarray meta-analysis and ceRNA networks
por: Yesharim, Liora, et al.
Publicado: (2022)

Time series analysis: time series analysis methods and applications
por: Rao, Tata Subba, et al.
Publicado: (2012)

Challenges in the Use of the Treat-to-Target Strategy in Atopic Dermatitis in Latin America: A Case Series Review
por: Cherrez-Ojeda, Ivan, et al.
Publicado: (2023)

Multi-faceted, multi-versatile microarray: simultaneous detection of many viruses and their expression profiles
por: Shieh, Biehuoy, et al.
Publicado: (2004)

Integrated mixed methods policy analysis for sustainable food systems: trends, challenges and future research
por: Cuevas, Soledad
Publicado: (2016)

Microarrays bring new insights into understanding of breast cancer metastasis to bone
por: Welch, Danny R
Publicado: (2004)

A commentary on “The trouble with trust: Time-series analysis of social capital, income inequality, and COVID-19 deaths in 84 countries”
por: Lindström, Martin
Publicado: (2020)

Challenges and patenting strategies for Chinese herbal medicine
por: Wang, Xinsheng, et al.
Publicado: (2010)

Response to Lindström (2020) on “The trouble with trust: Time-series analysis of social capital, income inequality, and COVID-19 deaths in 84 countries”
por: Elgar, Frank J., et al.
Publicado: (2020)

Low-density oligonucleotide microarrays - A major step in Wilson's disease diagnosis
por: Gupta, Arnab
Publicado: (2015)

The challenging times and opportunities for pharmacovigilance in Africa during the COVID-19 pandemic
por: Ogar, C., et al.
Publicado: (2020)

Real-time RT-PCR for COVID-19 diagnosis: challenges and prospects
por: Sule, Waidi Folorunso, et al.
Publicado: (2020)

Development of China's health care system in the time of COVID‐19: Challenges, opportunities, and call for actions
por: Li, Liming
Publicado: (2022)

Challenges for MicroRNA Microarray Data Analysis
por: Wang, Bin, et al.
Publicado: (2013)

Modelling of time series microarray data using dynamic Bayesian network
por: Srinivasa, KG, et al.
Publicado: (2009)

Time-Based Data in Occupational Studies: The Whys, the Hows, and Some Remaining Challenges in Compositional Data Analysis (CoDA)
por: Gupta, Nidhi, et al.
Publicado: (2020)

The global burden of liver disease: a challenge for methods and for public health
por: Byass, Peter
Publicado: (2014)

A simple spreadsheet-based, MIAME-supportive format for microarray data: MAGE-TAB
por: Rayner, Tim F, et al.
Publicado: (2006)

Microarrays and breast cancer clinical studies: forgetting what we have not yet learnt
por: Ahmed, Ahmed Ashour, et al.
Publicado: (2005)

The use of segmented regression in analysing interrupted time series studies: an example in pre-hospital ambulance care
por: Taljaard, Monica, et al.
Publicado: (2014)

Intensive care unit staffing and quality of care: challenges in times of an intensivist shortage
por: Courtright, Katherine R., et al.
Publicado: (2014)

Globalisation in the time of COVID-19: repositioning Africa to meet the immediate and remote challenges
por: Yaya, Sanni, et al.
Publicado: (2020)

Long-term care settings in the times of COVID-19: challenges and future directions
por: Ayalon, Liat, et al.
Publicado: (2020)

Child Care in the Time of Coronavirus Disease-19: A Period of Challenge and Opportunity
por: Hashikawa, Andrew N., et al.
Publicado: (2020)

Timely Euthanasia in the United States Dairy Industry–Challenges and a Path Forward
por: Walker, Jennifer B., et al.
Publicado: (2019)

Methods, Applications and Challenges in the Analysis of Interrupted Time Series Data: A Scoping Review
por: Ewusie, Joycelyne E, et al.
Publicado: (2020)

Spectral estimation in unevenly sampled space of periodically expressed microarray time series data
por: Liew, Alan Wee-Chung, et al.
Publicado: (2007)

Predicting microRNA targets in time-series microarray experiments via functional data analysis
por: Parker, Brian J, et al.
Publicado: (2009)

Difference-based clustering of short time-course microarray data with replicates
por: Kim, Jihoon, et al.
Publicado: (2007)

Recent translational research: microarray expression profiling of breast cancer – beyond classification and prognostic markers?
por: Wilson, Cindy A, et al.
Publicado: (2004)

Cannot write session to /tmp/vufind_sessions/sess_tk1ah0t066ah37an8nfvchrmn2