LiP-MS, a machine learning-based chemoproteomic approach to identify drug targets in complex proteomes. (October 2022)
- Record Type:
- Journal Article
- Title:
- LiP-MS, a machine learning-based chemoproteomic approach to identify drug targets in complex proteomes. (October 2022)
- Main Title:
- LiP-MS, a machine learning-based chemoproteomic approach to identify drug targets in complex proteomes
- Authors:
- Redfern, D.
Beaton, N.
Sabino, F.
Below, C.
Bruderer, R.
Feng, Y.
Castaldi, P.
Reiter, L. - Abstract:
- Is Part Of:
- European journal of cancer. Volume 174(2022)Supplement 1
- Journal:
- European journal of cancer
- Issue:
- Volume 174(2022)Supplement 1
- Issue Display:
- Volume 174, Issue 1 (2022)
- Year:
- 2022
- Volume:
- 174
- Issue:
- 1
- Issue Sort Value:
- 2022-0174-0001-0000
- Page Start:
- S115
- Page End:
- Publication Date:
- 2022-10
- Subjects:
- Cancer -- Periodicals
Neoplasms -- Periodicals
Cancer -- Périodiques
Cancer
Tumors
Electronic journals
Periodicals
Electronic journals
616.994 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09598049 ↗
http://rzblx1.uni-regensburg.de/ezeit/warpto.phtml?colors=7&jour_id=2879 ↗
http://www.clinicalkey.com/dura/browse/journalIssue/09598049 ↗
http://www.clinicalkey.com.au/dura/browse/journalIssue/09598049 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/S0959-8049(22)01107-8 ↗
- Languages:
- English
- ISSNs:
- 0959-8049
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3829.725100
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 24203.xml