Zobrazeno 1 - 10
of 11
pro vyhledávání: '"RaghvenPhDa Mall"'
Publikováno v:
Bioinformatics. 34:2605-2613
Motivation Protein solubility plays a vital role in pharmaceutical research and production yield. For a given protein, the extent of its solubility can represent the quality of its function, and is ultimately defined by its sequence. Thus, it is impe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::490778ab7391cedf584e4431c8ffd21b
https://doi.org/10.1093/bioinformatics/bty166
https://doi.org/10.1093/bioinformatics/bty166
Publikováno v:
Bioinformatics and Biomedical Engineering ISBN: 9783319787220
IWBBIO (1)
IWBBIO (1)
The goal of this paper is to develop a novel statistical framework for inferring dependence between distributions of variables in omics data. We propose the concept of building a dependence network using a copula-based kernel dependency measures to r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3fa1d23cc8465168dc4de2c0b307e343
https://doi.org/10.1007/978-3-319-78723-7_6
https://doi.org/10.1007/978-3-319-78723-7_6
Publikováno v:
Bioinformatics (Oxford, England). 34(7)
Motivation Protein solubility can be a decisive factor in both research and production efficiency, and in silico sequence-based predictors that can accurately estimate solubility outcomes are highly sought. Results In this study, we present a novel a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ea9b6b2b6da0d6d749970484d7e62a7
https://pubmed.ncbi.nlm.nih.gov/29069295
https://pubmed.ncbi.nlm.nih.gov/29069295
Autor:
Halima Bensmail, Heesoo Park, Nouar Tabet, Fadwa El-Mellouhi, Fahhad H. Alharbi, Stefano Sanvito, RaghvenPhDa Mall
Publikováno v:
Physical Chemistry Chemical Physics. 21:2821-2821
Correction for ‘Exploring new approaches towards the formability of mixed-ion perovskites by DFT and machine learning’ by Heesoo Park et al., Phys. Chem. Chem. Phys., 2019, DOI: 10.1039/c8cp06528d.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76a248c7389a9d4514620a30aca4f836
https://doi.org/10.1039/c9cp90013f
https://doi.org/10.1039/c9cp90013f
Autor:
Reda Rawi, Naima Moustaid-Moussa, Halima Bensmail, Ehsan Ullah, Adeel A. Butt, RaghvenPhDa Mall
Publikováno v:
Journal of Translational Medicine, Vol 16, Iss 1, Pp 1-1 (2018)
Journal of Translational Medicine
Journal of Translational Medicine
Human tissues are invaluable resources for researchers worldwide. Biobanks are repositories of such human tissues and can have a strategic importance for genetic research, clinical care, and future discoveries and treatments. One of the aims of Qatar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f40cb7399e8def7512165ca1c8137ead
http://link.springer.com/article/10.1186/s12967-018-1648-7
http://link.springer.com/article/10.1186/s12967-018-1648-7
Autor:
Halima Bensmail, RaghvenPhDa Mall, Luigi Cerulo, Khalid Kunji, Thais S. Sabedot, Luciano Garofano, Veronique Frattini, Antonio Iavarone, Houtan Noushmehr, Anna Lasorella, Michele Ceccarelli
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Nucleic Acids Research
Universidade de São Paulo (USP)
instacron:USP
Nucleic Acids Research
We propose a generic framework for gene regulatory network (GRN) inference approached as a feature selection problem. GRNs obtained using Machine Learning techniques are often dense, whereas real GRNs are rather sparse. We use a Tikonov regularizatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e754a3aad77e87a523d22841441b46fc
https://doi.org/10.1093/nar/gky015
https://doi.org/10.1093/nar/gky015
Publikováno v:
IJCNN
Kernel spectral clustering (KSC) solves a weighted kernel principal component analysis problem in a primal-dual optimization framework. It results in a clustering model using the dual solution of the problem. It has a powerful out-of-sample extension
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd6bc31924a12c907e19e4515cf5eab7
https://doi.org/10.1109/ijcnn.2014.6889474
https://doi.org/10.1109/ijcnn.2014.6889474
Publikováno v:
Social Network Analysis and Mining
© 2013, Springer-Verlag Wien. We propose a novel algorithm, FURS (Fast and Unique Representative Subset selection) to deterministically select a set of nodes from a given graph which retains the underlying community structure. FURS greedily selects
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8f9fe1935845c9ed3a0c1b8a169bc6f
Publikováno v:
Entropy, Vol 15, Iss 5, Pp 1567-1586 (2013)
Entropy
Entropy; Volume 15; Issue 5; Pages: 1567-1586
Entropy
Entropy; Volume 15; Issue 5; Pages: 1567-1586
This paper shows the feasibility of utilizing the Kernel Spectral Clustering (KSC) method for the purpose of community detection in big data networks. KSC employs aprimal-dual framework to construct a model. It results in a powerful property of effec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5057e6908083c45e508726f2d6acec87
https://lirias.kuleuven.be/handle/123456789/402180
https://lirias.kuleuven.be/handle/123456789/402180
Autor:
RaghvenPhDa Mall, Johan A. K. Suykens
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783642374524
PAKDD (1)
Lecture Notes in Computer Science
PAKDD (1)
Lecture Notes in Computer Science
Fixed-Size Least Squares Support Vector Machines (FS-LSSVM) is a powerful tool for solving large scale classification and regression problems. FS-LSSVM solves an over-determined system of M linear equations by using Nyström approximations on a set o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2610235521e7d303543036fba5c9d850
https://lirias.kuleuven.be/handle/123456789/372694
https://lirias.kuleuven.be/handle/123456789/372694