Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Raja Loganantharaj"'
Autor:
John L. Clifford, Urska Cvek, Marjan Trutschl, Raja Loganantharaj, Michael S. Dai, Patrick Adegboyega, I-ling Lee, Jennifer Gill, Anita L. Sabichi, Randolph Stone
Supplementary Table 1 from Identification of Genes Correlated with Early-Stage Bladder Cancer Progression
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1749baad5f076239a1e9fa65d00caf0a
https://doi.org/10.1158/1940-6207.22523067.v1
https://doi.org/10.1158/1940-6207.22523067.v1
Autor:
John L. Clifford, Urska Cvek, Marjan Trutschl, Raja Loganantharaj, Michael S. Dai, Patrick Adegboyega, I-ling Lee, Jennifer Gill, Anita L. Sabichi, Randolph Stone
Transitional cell carcinoma (TCC) of the bladder ranks fourth in incidence of all cancers in the developed world, yet the mechanisms of its origin and progression remain poorly understood. There are also few useful diagnostic or prognostic biomarkers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d1b86ccb156c1a57295f10b524ed480
https://doi.org/10.1158/1940-6207.c.6543579.v1
https://doi.org/10.1158/1940-6207.c.6543579.v1
Autor:
John L. Clifford, Urska Cvek, Marjan Trutschl, Raja Loganantharaj, Michael S. Dai, Patrick Adegboyega, I-ling Lee, Jennifer Gill, Anita L. Sabichi, Randolph Stone
Supplementary Table 2 from Identification of Genes Correlated with Early-Stage Bladder Cancer Progression
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e5c42c517729c8a38752d6ecf978bc0
https://doi.org/10.1158/1940-6207.22523064.v1
https://doi.org/10.1158/1940-6207.22523064.v1
Autor:
Randolph Stone, Michael S. Dai, Anita L. Sabichi, Marjan Trutschl, John L. Clifford, Patrick Adegboyega, Jennifer N Gill, Urska Cvek, Raja Loganantharaj, I-Ling Lee
Publikováno v:
Cancer Prevention Research. 3:776-786
Transitional cell carcinoma (TCC) of the bladder ranks fourth in incidence of all cancers in the developed world, yet the mechanisms of its origin and progression remain poorly understood. There are also few useful diagnostic or prognostic biomarkers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91b3f7b4e915a8e88bf8f8cb302d091d
https://doi.org/10.1158/1940-6207.capr-09-0189
https://doi.org/10.1158/1940-6207.capr-09-0189
Autor:
Raja Loganantharaj, Jun Chung
Publikováno v:
Journal of Biomedicine and Biotechnology
Journal of Biomedicine and Biotechnology, Vol 2009 (2009)
Journal of Biomedicine and Biotechnology, Vol 2009 (2009)
Microarray technology provides an opportunity to view transcriptions at genomic level under different conditions controlled by an experiment. From an array experiment using a human cancer cell line that is engineered to differ in expression of tumor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::675a0cc23dfb8ae905130a0ca7e382d3
https://doi.org/10.1155/2009/648987
https://doi.org/10.1155/2009/648987
Autor:
Raja Loganantharaj
Publikováno v:
International journal of bioinformatics research and applications. 5(3)
Microarray technology provides an opportunity to view transcriptions at genomic level under different experimental conditions. Generally, co-expressed genes, which are members of the same cluster, are expected to have similar function, but unfortunat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78dca154ee8034be6f2a37381481a8e1
https://pubmed.ncbi.nlm.nih.gov/19525204
https://pubmed.ncbi.nlm.nih.gov/19525204
Autor:
Raja Loganantharaj, Mazen Atwi
Publikováno v:
BMC Bioinformatics
Background As the number of fully sequenced genome increases, the need is greater for bioinformatics to predict or annotate genes of a newly sequenced genome. Ever since Eisenberg and his colleagues introduced phylogenetic profiling for assigning or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89c90589675980f13715169b0ada15bd
https://doi.org/10.1186/1471-2105-8-s7-s25
https://doi.org/10.1186/1471-2105-8-s7-s25
Autor:
Raja Loganantharaj
Publikováno v:
Bioinformatics Research and Applications ISBN: 9783540720300
ISBRA
ISBRA
In this paper we will study the naive Bayes, one of the popular machine learning algorithms, and improve its accuracy without seriously affecting its computational efficiency. Naive Bayes assumes positional independence, which makes the computation o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55e471991a312a4d64b12ba6a5b12281
https://doi.org/10.1007/978-3-540-72031-7_26
https://doi.org/10.1007/978-3-540-72031-7_26
Publikováno v:
Advances in Applied Artificial Intelligence ISBN: 9783540354536
IEA/AIE
IEA/AIE
The availability of microarray technology at an affordable price makes it possible to determine expression of several thousand genes simultaneously. Gene expression can be clustered so as to infer the regulatory modules and functionality of a gene re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae7ca12480639f5628b364aaebd20943
https://doi.org/10.1007/11779568_104
https://doi.org/10.1007/11779568_104
Autor:
S. Smith, Ramesh Kolluru, Steve Simmons, Jeffery A. Hooker, G. LaBauve, James E. Spencer, Raja Loganantharaj, P. Bayyapu, Tim Hebert
Publikováno v:
Intelligent Problem Solving. Methodologies and Approaches ISBN: 9783540676898
IEA/AIE
IEA/AIE
This paper presents the results of an on-going research investigation being conducted at the University of Louisiana at Lafayette, in collaboration with its' industrial partner, Intelligent Machine Concepts (IMC). IMC, an advanced technology develope
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96d084916fc62fd77d5295fdd964837c
https://doi.org/10.1007/3-540-45049-1_37
https://doi.org/10.1007/3-540-45049-1_37