Results 41 to 50 of about 31,256,270 (297)

Predicting gene knockout effects from expression data

BMC Medical Genomics, 2023
Background The study of gene essentiality, which measures the importance of a gene for cell division and survival, is used for the identification of cancer drug targets and understanding of tissue-specific manifestation of genetic conditions.
Jonathan Rosenski, Sagiv Shifman, Tommy Kaplan   +2 more
doaj   +1 more source

Bayesian hierarchical clustering for studying cancer gene expression data with unknown statistics [PDF]

, 2013
Clustering analysis is an important tool in studying gene expression data. The Bayesian hierarchical clustering (BHC) algorithm can automatically infer the number of clusters and uses Bayesian model selection to improve clustering quality. In this paper,
Muhammad F Bari, Bari Muhammad F., Sirinukunwattana Korsuk, Bari, Muhammad F., Muhammad F. Bari, Savage, Richard S., David R. J. Snead, David R. J. Snead (475600), Richard S Savage, Richard S. Savage, Rajpoot Nasir M., Muhammad F. Bari (417733), Snead, David R. J., David R J Snead, Richard S. Savage (341629), Nasir M. Rajpoot, Korsuk Sirinukunwattana (475599), Rajpoot, Nasir M., Sirinukunwattana, Korsuk, Korsuk Sirinukunwattana, Snead, David R.J., Snead David R. J., Nasir M. Rajpoot (185555), Nasir M Rajpoot, Savage Richard S.   +24 more
core   +2 more sources

Towards knowledge-based gene expression data mining [PDF]

, 2007
The field of gene expression data analysis has grown in the past few years from being purely data-centric to integrative, aiming at complementing microarray analysis with data and knowledge from diverse available sources. In this review, we report on the
Zupan, Blaz, Bellazzi, Riccado
core   +2 more sources

A temporal precedence based clustering method for gene expression microarray data [PDF]

, 2010
Background: Time-course microarray experiments can produce useful data which can help in understanding the underlying dynamics of the system. Clustering is an important stage in microarray data analysis where the data is grouped together according to ...
Li Chang-Tsun, Buchanan-Wollaston, Vicky, Chang-Tsun Li, Vicky Buchanan-Wollaston, Krishna, Ritesh V., Ritesh Krishna, Buchanan-Wollaston Vicky, Krishna Ritesh, Li, Chang-Tsun   +8 more
core   +1 more source

Shambhala: a platform-agnostic data harmonizer for gene expression data

BMC Bioinformatics, 2019
Background Harmonization techniques make different gene expression profiles and their sets compatible and ready for comparisons. Here we present a new bioinformatic tool termed Shambhala for harmonization of multiple human gene expression datasets ...
Nicolas Borisov, Irina Shabalina, Victor Tkachev, Maxim Sorokin, Andrew Garazha, Andrey Pulin, Ilya I. Eremin, Anton Buzdin   +7 more
doaj   +1 more source

Neurocognitive, School‐Based, and Quality of Life Outcomes for Youth With Sickle Cell Disease and Thalassemia: A Scoping Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT The medical burdens of sickle cell disease (SCD) and transfusion‐dependent β‐thalassemia (TDT) are chronic and cumulative, even in children. Yet the effects expand beyond medications and healthcare visits due to their impacts on school attendance, academic performance, and peer engagement.
Mary Ann Etling, Hakim Tokhi, Alexander A. Boucher   +2 more
wiley   +1 more source

Discovering transcriptional modules by Bayesian data integration [PDF]

, 2010
Motivation: We present a method for directly inferring transcriptional modules (TMs) by integrating gene expression and transcription factor binding (ChIP-chip) data.
Richard S. Savage, Wild, David L., Griffin, JE, Savage, RS, Bernard J. de la Cruz, Savage, Richard S., ,, De la Cruz, Bernard J., David L. Wild, de la Cruz, BJ, Wild, DL, Jim E. Griffin, Ghahramani, Z, Ghahramani, Zoubin, Griffin, Jim E., Zoubin Ghahramani   +15 more
core   +1 more source

Case-Based Retrieval Framework for Gene Expression Data

Cancer Informatics, 2015
Background The process of retrieving similar cases in a case-based reasoning system is considered a big challenge for gene expression data sets. The huge number of gene expression values generated by microarray technology leads to complex data sets and ...
Ali Anaissi, Madhu Goyal, Daniel R. Catchpoole, Ali Braytee, Paul J. Kennedy   +4 more
doaj   +2 more sources

FARO server: Meta-analysis of gene expression by matching gene expression signatures to a compendium of public gene expression data

BMC Research Notes, 2011
Background Although, systematic analysis of gene annotation is a powerful tool for interpreting gene expression data, it sometimes is blurred by incomplete gene annotation, missing expression response of key genes and secondary gene expression responses.
Nielsen Henrik B, Manijak Mieszko P
doaj   +1 more source

Clustering Algorithms: Their Application to Gene Expression Data [PDF]

Bioinformatics and Biology Insights, 2016
Gene expression data hide vital information required to understand the biological process that takes place in a particular organism in relation to its environment.
Jelili Oyelade, Itunuoluwa Isewon, Funke Oladipupo, Olufemi Aromolaran, Efosa Uwoghiren, Faridah Ameh, Moses Achas, Ezekiel Adebiyi   +7 more
doaj   +2 more sources