about
Feature selection and nearest centroid classification for protein mass spectrometry.Correlation analysis of two-dimensional gel electrophoretic protein patterns and biological variables.Quantitative matrix-assisted laser desorption/ionization mass spectrometryBreast cancer related proteins are present in saliva and are modulated secondary to ductal carcinoma in situ of the breast.A new approach for the analysis of mass spectrometry data for biomarker discoveryCombination of SELDI-TOF-MS and data mining provides early-stage response prediction for rectal tumors undergoing multimodal neoadjuvant therapy.Proteomic patterns as a diagnostic tool for early-stage cancer: a review of its progress to a clinically relevant tool.Use of proteomic analysis to monitor responses to biological therapies.Toxicoproteomics: serum proteomic pattern diagnostics for early detection of drug induced cardiac toxicities and cardioprotection.Protein profiling in respiratory disease: techniques and impact.Role of oncoproteomics in the personalized management of cancer.High-throughput proteomics using matrix-assisted laser desorption/ ionization mass spectrometry.SELDI-TOF mass spectrometry for cancer biomarker discovery and serum proteomic diagnostics.Link test--A statistical method for finding prostate cancer biomarkers.A robust biomarker discovery pipeline for high-performance mass spectrometry data.Bias, randomization, and ovarian proteomic data: a reply to "producers and consumers".Cross-platform analysis of cancer biomarkers: a Bayesian network approach to incorporating mass spectrometry and microarray data.Comparison of computational algorithms for the classification of liver cancer using SELDI mass spectrometry: a case study.An LC-IMS-MS platform providing increased dynamic range for high-throughput proteomic studies.Proteomic patterns analysis with multivariate calculations as a promising tool for prompt differentiation of early stage lung tissue with cancer and unchanged tissue material.Candidate serological biomarkers for cancer identified from the secretomes of 23 cancer cell lines and the human protein atlas.MALDI MS imaging as a tool for biomarker discovery: methodological challenges in a clinical setting.Rapid peptidomic profiling of peritoneal fluid by MALDI-TOF mass spectrometry for the identification of biomarkers of endometriosis.Non-invasive proteomics-thinking about personalized breast cancer screening and treatmentTarget class strategies in mass spectrometry-based proteomics.Anti-tumor antibodies in ovarian cancer.Proteomic analysis of colorectal cancer: discovering novel biomarkers.Application of proteomic strategies to the identification of urinary biomarkers for prostate cancer: a review.Pattern recognition and biomarker validation using quantitative 1H-NMR-based metabolomics.A list of candidate cancer biomarkers for targeted proteomics.Dynamically weighted clustering with noise set.Laboratory Medicine in the Scope of Proteomics and GenomicsProteomic Differences in Feline Fibrosarcomas Grown Using Doxorubicin-Sensitive and -Resistant Cell Lines in the Chick Embryo Model.Serum proteomic pattern analysis for early cancer detection.
P2860
Q24811562-1CD64007-32C5-4E2E-A8B9-7187B780765FQ30477879-7E3D2790-B064-4DC0-898F-1CDB2DCCEB49Q30487094-4CED6440-19FD-426E-9B96-6F52738D5824Q30840913-90310305-4328-4447-B04C-87FF5AA6A8BEQ31094778-D19B8EDB-39C9-44CD-ABF1-ADE9FF1DE0EEQ31095551-406FC8A4-1F6F-4602-9510-A2B5A43A3950Q31125659-92E58EAC-362F-4737-97E7-A3D25A27A01BQ33196034-C965AA19-C609-4567-BB95-8D1A16D980C1Q33204056-7B421205-9F61-4750-96F6-D106DE1EB625Q33217465-2438940B-B74D-47BF-822E-C5BC8F55F237Q33217467-A0F8E456-9D34-41DF-B15B-9F65B685C303Q33218318-26918E54-CCD5-4DAC-BB17-751B78C97897Q33222839-DF68ADD8-E716-44BB-AEC7-289079CB2497Q33264623-C894F312-7AB1-49A9-8EEE-B42B5B173318Q33302448-9AEDF0CE-AA30-4FA5-A28C-FD5B70E72C1BQ33420422-3C799FDB-DBE7-4104-966C-6798D7EF6BF2Q33448550-5BE53573-8578-4A32-831D-1F9DF97CFFA2Q33448583-9668E7D2-07F4-47F6-8479-68E92ECFB001Q33640981-62DFBD95-34B3-4BBD-9E2F-7072214BB57AQ33850368-66B4B30A-4F2E-4767-A631-938ACA1E3364Q33883005-8004D947-18FA-46B0-80EC-A24FA3819D2FQ34454885-74828AB3-0E26-4464-9C20-80F2C3978642Q35222891-1DE6F938-8F28-4BC5-A34A-074493E50C39Q36117711-31B8CA2F-923D-4BAE-8FFE-0B4890C8EED3Q36168322-59505EBD-F766-43CE-81D0-BE628D428D89Q36232263-0C107139-D73D-4674-816D-CFBA4A1D7EF6Q36279061-3A127ED8-BDA4-4275-AEDE-79AEA36D64A7Q36590940-6CD39C20-CC45-4877-9C9E-4F05AF5F0C6CQ36607286-1CF75E5E-0C66-4A95-B151-A2465B4CB614Q37277962-FA951C15-5AB6-47CC-B7C6-991EACCF2DC4Q38508045-53838C47-ABBD-4042-BFBF-CA73D377AFC8Q42378646-273600DD-FCD3-4875-BBC5-63289C7265B0Q50001909-B56D9EE7-B4EB-4BBD-8204-4BC99A3834EEQ51286632-49E02170-D847-425F-8405-F4E028017E5D
P2860
description
2003 nî lūn-bûn
@nan
2003 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2003 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2003年の論文
@ja
2003年論文
@yue
2003年論文
@zh-hant
2003年論文
@zh-hk
2003年論文
@zh-mo
2003年論文
@zh-tw
2003年论文
@wuu
name
Cancer diagnosis using proteomic patterns.
@ast
Cancer diagnosis using proteomic patterns.
@en
type
label
Cancer diagnosis using proteomic patterns.
@ast
Cancer diagnosis using proteomic patterns.
@en
prefLabel
Cancer diagnosis using proteomic patterns.
@ast
Cancer diagnosis using proteomic patterns.
@en
P2093
P2860
P356
P1476
Cancer diagnosis using proteomic patterns.
@en
P2093
Emmanuel F Petricoin
Lance Liotta
Thomas P Conrads
Timothy D Veenstra
P2860
P304
P356
10.1586/14737159.3.4.411
P577
2003-07-01T00:00:00Z