Tan Sin Lam

Details der Publikationsliste

Zeitraum

2003 - 2006

Anzahl

6

Co-Autoren

Mice and men: their promoter properties. (2006)

Bajic Vladimir B, Tan Sin Lam, Christoffels Alan, Schönbach Christian, Lipovich Leonard, Yang Liang, ...

Using the two largest collections of Mus musculus and Homo sapiens transcription start sites (TSSs) determined based on CAGE tags, ditags, full-length cDNAs, and other transcript data, we describe...

Complex Loci in human and mouse genomes. (2006)

Engström Pär G, Suzuki Harukazu, Ninomiya Noriko, Akalin Altuna, Sessa Luca, Lavorgna Giovanni, ...

Mammalian genomes harbor a larger than expected number of complex loci, in which multiple genes are coupled by shared transcribed regions in antisense orientation and/or by bidirectional core...

Pseudo-messenger RNA: phantoms of the transcriptome. (2006)

Frith Martin C, Wilming Laurens G, Forrest Alistair, Kawaji Hideya, Tan Sin Lam, Wahlestedt Claes, ...

The mammalian transcriptome harbours shadowy entities that resist classification and analysis. In analogy with pseudogenes, we define pseudo-messenger RNA to be RNA molecules that resemble...

Classifying the Estrogen Receptor Status of Breast Cancers by Expression Profiles Reveals a Poor Prognosis Subpopulation Exhibiting High Expression of the ERBB2 Receptor (2003)

Kun, Yu, How, Lee Chee, Hoon, Tan Puay, Bajic, Vladimir B, Lam, Tan Sin, Aggarwal, Amit, ...

Recent work using expression profiling to computationally predict the estrogen receptor (ER) status of breast tumors has revealed that certain tumors are characterized by a high prediction...

Classifying the estrogen receptor status of breast cancers by expression profiles reveals a poor prognosis subpopulation exhibiting high expression of the ERBB2 receptor (2003)

Kun, Yu, How, Lee Chee, Hoon, Tan Puay, Bajic, Vladimir B., Lam, Tan Sin, Aggarwal, Amit, ...

Recent work using expression profiling to computationally predict the estrogen receptor (ER) status of breast tumors has revealed that certain tumors are characterized by a high prediction...

Classifying the Estrogen Receptor Status of Breast Cancers by Expression Profiles Reveals a Poor Prognosis Subpopulation Exhibiting High Expression of the ERBB2 Receptor (2003)

Kun, Yu, How, Lee Chee, Hoon, Tan Puay, Bajic, Vladimir B, Lam, Tan Sin, Aggarwal, Amit, ...

Recent work using expression profiling to computationally predict the estrogen receptor (ER) status of breast tumors has revealed that certain tumors are characterized by a high prediction...