Molecular classification of cutaneous malignant melanoma by gene expression profiling
about
DACH1 inhibits transforming growth factor-beta signaling through binding Smad4Down-regulation of Wnt-4 and up-regulation of Wnt-5a expression by epithelial-mesenchymal transition in human squamous carcinoma cellsDetecting PKC phosphorylation as part of the Wnt/calcium pathway in cutaneous melanomaWnt5A activates the calpain-mediated cleavage of filamin AEnzyme activity profiles of the secreted and membrane proteome that depict cancer cell invasiveness.Spectral biclustering of microarray data: coclustering genes and conditionsThe orphan tyrosine kinase receptor, ROR2, mediates Wnt5A signaling in metastatic melanomaThe human Fn14 receptor gene is up-regulated in migrating glioma cells in vitro and overexpressed in advanced glial tumorsTissue microarray validation of epidermal growth factor receptor and SALL2 in synovial sarcoma with comparison to tumors of similar histologyGene expression profiling of melanoma cells - searching the haystackPermutation-validated principal components analysis of microarray dataA comparative analysis of data generated using two different target preparation methods for hybridization to high-density oligonucleotide microarraysAn entropy-based gene selection method for cancer classification using microarray data.Expression profiling to predict outcome in breast cancer: the influence of sample selectionIterative class discovery and feature selection using Minimal Spanning TreesMulticlass discovery in array dataA DNA microarray survey of gene expression in normal human tissues.Endothelin receptors as novel targets in tumor therapyGenomic data sampling and its effect on classification performance assessmentDefining signal thresholds in DNA microarrays: exemplary application for invasive cancer.Many accurate small-discriminatory feature subsets exist in microarray transcript data: biomarker discovery.Quantitative assessment of the use of modified nucleoside triphosphates in expression profiling: differential effects on signal intensities and impacts on expression ratios.Cluster stability scores for microarray data in cancer studies.Molecular profiling of breast cancer: portraits but not physiognomy.Tests for finding complex patterns of differential expression in cancers: towards individualized medicineSources of variability and effect of experimental approach on expression profiling data interpretationA prediction-based resampling method for estimating the number of clusters in a dataset.Model-based analysis of oligonucleotide arrays: model validation, design issues and standard error applicationCD155/PVR plays a key role in cell motility during tumor cell invasion and migrationGenomic-scale measurement of mRNA turnover and the mechanisms of action of the anti-cancer drug flavopiridolCross-platform analysis of cancer microarray data improves gene expression based classification of phenotypesFinding groups in gene expression dataRNA amplification for successful gene profiling analysis.Progress in the application of DNA microarraysSample phenotype clusters in high-density oligonucleotide microarray data sets are revealed using Isomap, a nonlinear algorithm.Epithelial-to-endothelial transition and cancer stem cells: two cornerstones of vasculogenic mimicry in malignant tumorsTherapy for BRAFi-Resistant Melanomas: Is WNT5A the Answer?Stem cells and targeted approaches to melanoma cureTumor cell vasculogenic mimicry: from controversy to therapeutic promiseNanotheranostics for personalized medicine
P2860
Q54903652-CE5315A6-95D8-4838-8006-14DE6A1BD3DFQ54903653-6091990B-A000-4C3E-BC7F-BBAF1122AA72Q54903655-A6C7F14D-409F-45EB-981D-A3EBF45B9F75Q54973792-29E1EA7D-D06E-4A74-9DA5-235A7E5A776AQ54973793-C1F3DC12-95D5-4462-9884-9C96C9C49C04Q54973795-82FACD1C-1C60-4581-9EBE-1BDFBE0F03AAQ54973801-B1A27A05-10E0-4523-80B7-FE6D1D049026Q54973802-7257E23A-2801-4C21-A78D-9E8B6EC7B18AQ54973805-562C8CB7-AC3A-41C9-9BF4-40183EE04EF6Q54973822-CF4342BF-DD5F-4F04-933C-784A02403775Q54973832-28DDB225-926F-467F-9007-F2D8B601A001Q54973835-C1EF6C89-805E-4F2D-9C4B-11823D0BEFFFQ54973847-1EA6E9F4-9E81-480B-8781-B162591441F0Q54973849-96B60F51-7F3F-46BB-8312-E24AF2560B14Q54973852-A7633E40-0FD9-4FE1-BD06-45F6B0824A47Q54973859-B7B1290C-D1BC-407A-9C32-9DF2C359697CQ54973865-6581A436-F676-442B-B001-9BFCA425319BQ54973868-F614A536-3733-482A-B2D8-F3F11C70D65FQ54973869-FF78A8AB-CE86-485A-BD14-E28E3D7E08A7Q54973873-47B2946A-1AEF-42CB-99F4-AAA179BB3507
P1343
Q24296908-D5406FF4-7DCE-4566-967D-42298F365679Q24306875-31AE9A9D-81D3-48EE-BB34-BDB9730D854AQ24309510-3C9444ED-4561-439C-904F-89439AC6EE22Q24322975-5FA4DBCE-8978-4208-ABF0-1347C4474C49Q24533487-3E9441A4-82E9-4132-BD1B-1A527C076361Q24561940-719E066C-E344-4EA8-A645-7D6B9B149D91Q24648937-6EE24EE3-B17F-4F7F-A9CF-A2E684D27D23Q24684139-843FF3B1-D237-4591-97F2-936BDFE4E293Q24685075-3A2F1FDD-3F4F-44D4-9257-4104EA87DF41Q24791669-5B3B1E45-C369-414C-A334-FF6860066102Q24793935-F01FAB28-1782-47DC-B06C-96FDECCA925FQ24794018-03715260-1136-4236-8057-A208D889982BQ24794204-79160AAC-5F74-49E4-B0B9-EA43B8B23903Q24795022-E839EF45-53BC-4097-8449-0A595BA3F832Q24795482-507C4891-FB38-43E6-B4DD-55BD6B8B56D8Q24795508-DCE6EC07-542F-423F-A86D-3650D01B6D43Q24797220-9CBE4FA9-E688-4A40-8525-332BB7E047A2Q24797288-13846C67-7674-4F67-8B80-C2BCEC90CE24Q24798165-574BA3AC-DB6C-4DD5-ABFD-E90D4E6DD02BQ24798484-DACB4089-A038-427F-BDFD-38C18F6FD92FQ24798742-B95DAE15-159D-42D1-9995-BB3FBBEFB7D6Q24799936-F48F5FAE-BD63-46C9-A123-F8381DB36B7DQ24801120-69AFAEBD-51F1-4EEA-9F72-2C6EBBD2F845Q24801259-6958A94F-7098-41A5-8938-690738DBB5A0Q24801330-2B8BACFD-FF42-4AE1-A076-7574F51827AEQ24802502-53FE0BD5-C95F-4C41-BD52-6ADE9EAFA2DDQ24802783-BA52242B-6956-4B9C-8374-29A02B77A8E0Q24803815-8B7F6DE1-2B65-4CA5-BD41-50E8A2CB2BFDQ24805403-CDB04BB0-28B3-4D0C-BDED-039DD285F620Q24805832-4EF5E195-C6A5-4E39-827B-98B4C0AD899BQ24811346-35C857C8-3ADD-4F82-BF82-9E486703F6C6Q24811744-E0985B82-92DD-4D29-9DC7-CB4B3CACA56AQ24812532-33BAC901-0F19-4CD3-AEA2-0ED905EE5392Q24813217-E50FDB46-BA9A-4B04-80E6-AAAEC0F0A206Q24815085-F76682BC-6C6B-4B13-A39F-053E486E8FA4Q26749164-94207561-8E1E-4216-BCA6-76AF543360E2Q26782222-01FDF0D5-1C8C-40D8-92FB-7CCB1FF20A0DQ26825014-0F824A4C-488A-4CFE-9DB5-7EE152581B5FQ26829921-EB5B6731-1482-4D33-8390-58EE2CE8A99AQ26851449-31BF0E87-C25C-4835-BC6A-375AF3B48AA6
P2860
Molecular classification of cutaneous malignant melanoma by gene expression profiling
description
2000 nî lūn-bûn
@nan
2000 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2000 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2000年の論文
@ja
2000年論文
@yue
2000年論文
@zh-hant
2000年論文
@zh-hk
2000年論文
@zh-mo
2000年論文
@zh-tw
2000年论文
@wuu
name
Molecular classification of cutaneous malignant melanoma by gene expression profiling
@ast
Molecular classification of cutaneous malignant melanoma by gene expression profiling
@en
type
label
Molecular classification of cutaneous malignant melanoma by gene expression profiling
@ast
Molecular classification of cutaneous malignant melanoma by gene expression profiling
@en
prefLabel
Molecular classification of cutaneous malignant melanoma by gene expression profiling
@ast
Molecular classification of cutaneous malignant melanoma by gene expression profiling
@en
P2093
P4510
P3181
P356
P1433
P1476
Molecular classification of cutaneous malignant melanoma by gene expression profiling
@en
P2093
Dietrich K
Dougherty E
Gillanders E
P2888
P304
P3181
P356
10.1038/35020115
P407
P577
2000-08-03T00:00:00Z
P5875
P6179
1039076321