Transcription-based prediction of response to IFNbeta using supervised computational methods (Q24809619)

6

0 references

Stacy J. Caillier

4

Stacy J Caillier

0 references

Jorge R. Oksenberg

12

Jorge R Oksenberg

0 references

Sergio E Baranzini

1

Sergio E Baranzini

0 references

Althea Stillman

5

Althea Stillman

0 references

Manuel Comabella Lopez

8

Manuel Comabella

0 references

Xavier Montalban

11

Xavier Montalban

0 references

author name string

Parvin Mousavi

2

0 references

Jordi Rio

3

0 references

Matthew M Wyatt

7

0 references

Larry D Greller

9

0 references

Roland Somogyi

Creative Commons Attribution 4.0 International

10

0 references

language of work or name

English

0 references

publication date

January 2005

0 references

published in

PLOS Biology

0 references

volume

3

0 references

issue

1

0 references

page(s)

e2

0 references

copyright license

start time

28 December 2004

1 reference

April 2022 Public Data File from Crossref

copyright status

copyrighted

0 references

cites work

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Housekeeping genes as internal standards: use and limits

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28 September 2017

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Transcriptional analysis of multiple sclerosis brain lesions reveals a complex pattern of cytokine expression

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Expression profiling identifies responder and non-responder phenotypes to interferon-beta in multiple sclerosis.

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Systemic IFN-beta treatment induces apoptosis of peripheral immune cells in MS patients

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Assessment of different treatment failure criteria in a cohort of relapsing-remitting multiple sclerosis patients treated with interferon β: Implications for clinical trials

28 November 2018

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Evaluation of bioavailability of three types of IFNbeta in multiple sclerosis patients by a new quantitative-competitive-PCR method for MxA quantification.

28 November 2018

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