Lemon Tree

Author(s):  
Sanjay Dhir ◽  
Sushil
Keyword(s):  
Author(s):  
B.H. Rohitha ◽  
P.R. Calvert ◽  
R.A. Hill

1918 ◽  
Vol 9 (7) ◽  
pp. 308-310
Author(s):  
GIZA MUDIRIEH
Keyword(s):  

2004 ◽  
Vol 52 (2) ◽  
pp. 324-331 ◽  
Author(s):  
Angel Gil-Izquierdo ◽  
María T. Riquelme ◽  
Ignacio Porras ◽  
Federico Ferreres

2004 ◽  
Vol 31 (1) ◽  
pp. 47-52 ◽  
Author(s):  
Cornelya F. C. Klütsch ◽  
Wolf-Rüdiger Grosse ◽  
Bernhard Misof ◽  
Abdul Karim Nasher ◽  
Clas M. Naumann

2017 ◽  
Vol 48 (4) ◽  
pp. 159-167
Author(s):  
Susan Valerie Barker
Keyword(s):  

2014 ◽  
Vol 33 (2) ◽  
pp. 122-149
Author(s):  
Monique SOCHACZEWSKI
Keyword(s):  

Há uma efervescente literatura tratando da temática dos conflitos entre Israel e os palestinos, assim como com os países árabes. Durante muito tempo, a filmografia a este respeito se resumia a poucos diretores, como o israelense Amos Gitai. Na última década, porém, uma série de obras audiovisuais feitas por cineastas locais sobre essas questões tem ganhado as telas do mundo e abocanhado inúmeros prêmios. O intuito neste artigo é justamente apresentar e analisar algumas destas obras, começando por breve reflexão sobre a importância de filmes de ficção e documentários para tratar da História do tempo presente do Oriente Médio. A Noiva Síria, Lemon Tree, Laila's Birthday, Paradise Now, 5 Broken Cameras e The Gatekeepers, três obras israelenses e três palestinas, são então as selecionadas para, a partir delas, tratar de representações e interpretações feitas sobre o estágio do conflito entre israelenses e palestinos na última década, bem como suas relações com o Oriente Médio, de maneira geral.


1988 ◽  
pp. 186-190
Author(s):  
William H. O’Donnell
Keyword(s):  

2018 ◽  
Vol 16 (8) ◽  
pp. 3979-3988 ◽  
Author(s):  
V. Shahrokh ◽  
H. Khademi ◽  
A. Faz Cano ◽  
J. A. Acosta

Author(s):  
Pau Erola ◽  
Johan L M Björkegren ◽  
Tom Michoel

Abstract Motivation Recently, it has become feasible to generate large-scale, multi-tissue gene expression data, where expression profiles are obtained from multiple tissues or organs sampled from dozens to hundreds of individuals. When traditional clustering methods are applied to this type of data, important information is lost, because they either require all tissues to be analyzed independently, ignoring dependencies and similarities between tissues, or to merge tissues in a single, monolithic dataset, ignoring individual characteristics of tissues. Results We developed a Bayesian model-based multi-tissue clustering algorithm, revamp, which can incorporate prior information on physiological tissue similarity, and which results in a set of clusters, each consisting of a core set of genes conserved across tissues as well as differential sets of genes specific to one or more subsets of tissues. Using data from seven vascular and metabolic tissues from over 100 individuals in the STockholm Atherosclerosis Gene Expression (STAGE) study, we demonstrate that multi-tissue clusters inferred by revamp are more enriched for tissue-dependent protein-protein interactions compared to alternative approaches. We further demonstrate that revamp results in easily interpretable multi-tissue gene expression associations to key coronary artery disease processes and clinical phenotypes in the STAGE individuals. Availability and implementation Revamp is implemented in the Lemon-Tree software, available at https://github.com/eb00/lemon-tree Supplementary information Supplementary data are available at Bioinformatics online.


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