about
Interactome of Radiation-Induced microRNA-Predicted Target GenesA mouse model uncovers LKB1 as an UVB-induced DNA damage sensor mediating CDKN1A (p21WAF1/CIP1) degradationA proteome-scale map of the human interactome networkNotes for developing a molecular test for the full characterization of circulating tumor cellsOncogenomic portals for the visualization and analysis of genome-wide cancer dataIntegrating genetics and epigenetics in breast cancer: biological insights, experimental, computational methods and therapeutic potentialFrom human genome to cancer genome: the first decadeBioinformatics for cancer immunology and immunotherapyViral quasispecies evolutionEmerging patterns of somatic mutations in cancerMolecular predictive markers in tumors of the gastrointestinal tractComputational characterisation of cancer molecular profiles derived using next generation sequencingMolecular Markers in Low-Grade Glioma-Toward Tumor ReclassificationThe biorepository portal toolkit: an honest brokered, modular service oriented software tool set for biospecimen-driven translational researchRegistered report: Diverse somatic mutation patterns and pathway alterations in human cancersTopFed: TCGA tailored federated query processing and linking to LODBionimbus: a cloud for managing, analyzing and sharing large genomics datasetsWidespread macromolecular interaction perturbations in human genetic disordersiBAG: integrative Bayesian analysis of high-dimensional multiplatform genomics data.Drilling into big cancer-genome data.The role of balanced training and testing data sets for binary classifiers in bioinformatics.Network and data integration for biomarker signature discovery via network smoothed T-statistics.Integrative gene set analysis of multi-platform data with sample heterogeneity.Approaches to integrating germline and tumor genomic data in cancer research.Bayesian disease classification using copy number data.Generating a focused view of disease ontology cancer terms for pan-cancer data integration and analysisTCGAbiolinks: an R/Bioconductor package for integrative analysis of TCGA dataTranscriptomic analyses of RNA-binding proteins reveal eIF3c promotes cell proliferation in hepatocellular carcinoma.Circular RNAs: Biogenesis, Function and Role in Human Diseases.A Novel Unsupervised Algorithm for Biological Process-based Analysis on Cancer.A highly recurrent RPS27 5'UTR mutation in melanoma.2'-OMe-phosphorodithioate-modified siRNAs show increased loading into the RISC complex and enhanced anti-tumour activity.Functional characterization of breast cancer using pathway profilesWhat are we learning from the cancer genome?Short hairpin RNA library-based functional screening identified ribosomal protein L31 that modulates prostate cancer cell growth via p53 pathwayBioinformatic approaches to augment study of epithelial-to-mesenchymal transition in lung cancerIntegrative analysis of somatic mutations altering microRNA targeting in cancer genomes.A map of directional genetic interactions in a metazoan cell.Ehd4 encodes a novel and Oryza-genus-specific regulator of photoperiodic flowering in rice.Revealing selection in cancer using the predicted functional impact of cancer mutations. Application to nomination of cancer drivers.
P2860
Q21285034-1E0E048F-631F-4F5B-85BC-EBFC39D33AC5Q24306061-905BA9C8-836F-4815-9C28-9795FC99F844Q24307146-2425B71B-CA3E-4B7B-B3F7-D619141CBDC3Q26778913-0D5390D4-6039-40C0-8F70-95FC137197D7Q26781295-87D1085C-6053-4CCF-B50D-88B669F3B1AEQ26782613-C68BCF7C-A410-4E38-8D83-E830D5AD1F45Q26827640-443AC1A8-BAE5-4BB2-AF73-17AA5EE02D3BQ26864876-FAC1152D-63C8-4140-9034-51D1EB8EC491Q27013917-764EC624-58C2-4B73-978B-555E13EB2335Q27014126-C3C2796C-20C6-4A75-ADB5-8CEFE84752D8Q28070583-47D9BF06-C3BB-454C-8B76-5C000ACEA9D7Q28080523-C381BE1A-B319-4E2C-9349-3F1C328C44E2Q28383205-DBADD1CD-3DF3-4B24-8554-7EA19A1C16C4Q28387672-1B8D4059-5B5E-4578-971C-9B9ADB9D220FQ28603652-508B50D1-E46A-4DEF-8A60-C46213E34813Q28648128-9AA42D8F-6CF5-4ED5-8F19-F30B5D4FAC3CQ28652892-37B693E5-D687-4C37-BB2B-7E16844D3DB7Q28771729-B02614C6-A5BA-456A-AA35-3EC2822BCD97Q30577081-0FCE000F-58B0-49EA-A46C-41437A0DE28FQ30608577-17746A17-8E8B-4235-B9FF-36EDEBB7D5EAQ30656566-EAE1D593-FC1C-4D43-BF41-0CADEC3D4375Q30665910-A66E141D-89B1-4098-99F6-0964F08C9D62Q30747009-B74D787C-CB51-4CD3-A7CB-712EDDFD9342Q30842220-B5984537-59D8-4388-84D1-6FCE39F5FB22Q30863620-55EFEF21-7EF4-47A7-AB06-18580AC859B7Q30923212-8B47E6E8-E0BD-43E9-AA9A-92DC79AA1CA9Q31034005-AC3F2CD4-7416-433E-BAFD-CEDF9D50FA5FQ33738850-B9DABDC4-CEC0-4E07-99CB-122168F339F1Q33766123-BA0DB104-00CE-43E1-B290-85E885DC2FEEQ33875947-618B15B6-46E3-41AA-AD32-E57E67667CF0Q33917519-F26C3111-68D2-4967-8CB8-7C4988A2A05FQ33956803-9F858372-3320-4D86-B2E2-BC05E0C986ADQ33962784-D8FAB6E1-1D0D-4ED7-93F1-A0C8DEEEB6BEQ34213994-9741ABDB-5272-44F9-B910-B4380785D7BBQ34294283-B328A813-1761-4915-8242-9BBCE7B90E3AQ34295621-E1AB2EC2-2364-4354-9432-812390B0A907Q34455163-D21068F7-72C2-4467-9E27-0A93C01641E4Q34466080-4BF59C4D-08D0-4DC1-9217-A816E8874E24Q34597961-5DBAB91C-A928-4A1F-90A2-32C65DC982D8Q34790125-1ECD70AB-0C63-4A0E-A72B-8D9E82D71843
P2860
description
2011 nî lūn-bûn
@nan
2011 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի մարտին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Making sense of cancer genomic data.
@ast
Making sense of cancer genomic data.
@en
type
label
Making sense of cancer genomic data.
@ast
Making sense of cancer genomic data.
@en
altLabel
Making sense of cancer genomic data
@en
prefLabel
Making sense of cancer genomic data.
@ast
Making sense of cancer genomic data.
@en
P2860
P50
P356
P1433
P1476
Making sense of cancer genomic data.
@en
P2093
William C Hahn
P2860
P304
P356
10.1101/GAD.2017311
P407
P577
2011-03-01T00:00:00Z