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For: Vandin F, Papoutsaki A, Raphael BJ, Upfal E. Accurate computation of survival statistics in genome-wide studies. PLoS Comput Biol 2015;11:e1004071. [PMID: 25950620 DOI: 10.1371/journal.pcbi.1004071] [Cited by in Crossref: 20] [Cited by in F6Publishing: 20] [Article Influence: 2.5] [Reference Citation Analysis]
Number Citing Articles
1 Hu X, Xu H, Xue Q, Wen R, Jiao W, Tian K. The role of ERBB4 mutations in the prognosis of advanced non-small cell lung cancer treated with immune checkpoint inhibitors. Mol Med 2021;27:126. [PMID: 34620079 DOI: 10.1186/s10020-021-00387-z] [Reference Citation Analysis]
2 Tepeli YI, Ünal AB, Akdemir FM, Tastan O. PAMOGK: a pathway graph kernel-based multiomics approach for patient clustering. Bioinformatics 2021;36:5237-46. [PMID: 32730565 DOI: 10.1093/bioinformatics/btaa655] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 4.0] [Reference Citation Analysis]
3 Galili B, Samohi S, Yakhini Z. On the stability of log-rank test under labeling errors. Bioinformatics 2021:btab495. [PMID: 34255820 DOI: 10.1093/bioinformatics/btab495] [Reference Citation Analysis]
4 Fujii Y, Sato Y, Suzuki H, Kakiuchi N, Yoshizato T, Lenis AT, Maekawa S, Yokoyama A, Takeuchi Y, Inoue Y, Ochi Y, Shiozawa Y, Aoki K, Yoshida K, Kataoka K, Nakagawa MM, Nannya Y, Makishima H, Miyakawa J, Kawai T, Morikawa T, Shiraishi Y, Chiba K, Tanaka H, Nagae G, Sanada M, Sugihara E, Sato TA, Nakagawa T, Fukayama M, Ushiku T, Aburatani H, Miyano S, Coleman JA, Homma Y, Solit DB, Kume H, Ogawa S. Molecular classification and diagnostics of upper urinary tract urothelial carcinoma. Cancer Cell 2021;39:793-809.e8. [PMID: 34129823 DOI: 10.1016/j.ccell.2021.05.008] [Cited by in Crossref: 13] [Cited by in F6Publishing: 14] [Article Influence: 6.5] [Reference Citation Analysis]
5 Doi T, Hori M, Harada-Shiba M, Kataoka Y, Onozuka D, Nishimura K, Nishikawa R, Tsuda K, Ogura M, Son C, Miyamoto Y, Noguchi T, Shimokawa H, Yasuda S. Patients With LDLR and PCSK9 Gene Variants Experienced Higher Incidence of Cardiovascular Outcomes in Heterozygous Familial Hypercholesterolemia. J Am Heart Assoc 2021;10:e018263. [PMID: 33533259 DOI: 10.1161/JAHA.120.018263] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]
6 Rappoport N, Safra R, Shamir R. MONET: Multi-omic module discovery by omic selection. PLoS Comput Biol 2020;16:e1008182. [PMID: 32931516 DOI: 10.1371/journal.pcbi.1008182] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
7 Sarkar A, Atay Y, Erickson AL, Arisi I, Saltini C, Kahveci T. An Efficient Algorithm for Identifying Mutated Subnetworks Associated with Survival in Cancer. IEEE/ACM Trans Comput Biol and Bioinf 2020;17:1582-1594. [DOI: 10.1109/tcbb.2019.2911069] [Reference Citation Analysis]
8 Rappoport N, Shamir R. NEMO: cancer subtyping by integration of partial multi-omic data. Bioinformatics 2019;35:3348-56. [PMID: 30698637 DOI: 10.1093/bioinformatics/btz058] [Cited by in Crossref: 79] [Cited by in F6Publishing: 82] [Article Influence: 26.3] [Reference Citation Analysis]
9 Rappoport N, Safra R, Shamir R. MONET: Multi-omic patient module detection by omic selection.. [DOI: 10.1101/2020.02.21.960062] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
10 Olcina MM, Balanis NG, Kim RK, Aksoy BA, Kodysh J, Thompson MJ, Hammerbacher J, Graeber TG, Giaccia AJ. Mutations in an Innate Immunity Pathway Are Associated with Poor Overall Survival Outcomes and Hypoxic Signaling in Cancer. Cell Rep 2018;25:3721-3732.e6. [PMID: 30590044 DOI: 10.1016/j.celrep.2018.11.093] [Cited by in Crossref: 16] [Cited by in F6Publishing: 17] [Article Influence: 4.0] [Reference Citation Analysis]
11 Tepeli YI, Ünal AB, Akdemir FM, Tastan O. PAMOGK: A Pathway Graph Kernel based Multi-Omics Clustering Approach for Discovering Cancer Patient Subgroups.. [DOI: 10.1101/834168] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
12 Seifert M, Peitzsch C, Gorodetska I, Börner C, Klink B, Dubrovska A. Network-based analysis of prostate cancer cell lines reveals novel marker gene candidates associated with radioresistance and patient relapse. PLoS Comput Biol 2019;15:e1007460. [PMID: 31682594 DOI: 10.1371/journal.pcbi.1007460] [Cited by in Crossref: 21] [Cited by in F6Publishing: 24] [Article Influence: 5.3] [Reference Citation Analysis]
13 Rappoport N, Shamir R. Multi-omic and multi-view clustering algorithms: review and cancer benchmark. Nucleic Acids Res 2018;46:10546-62. [PMID: 30295871 DOI: 10.1093/nar/gky889] [Cited by in Crossref: 180] [Cited by in F6Publishing: 187] [Article Influence: 45.0] [Reference Citation Analysis]
14 Altieri F, Hansen TV, Vandin F. NoMAS: A Computational Approach to Find Mutated Subnetworks Associated With Survival in Genome-Wide Cancer Studies. Front Genet 2019;10:265. [PMID: 31024613 DOI: 10.3389/fgene.2019.00265] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.3] [Reference Citation Analysis]
15 Chen WS, Aggarwal R, Zhang L, Zhao SG, Thomas GV, Beer TM, Quigley DA, Foye A, Playdle D, Huang J, Lloyd P, Lu E, Sun D, Guan X, Rettig M, Gleave M, Evans CP, Youngren J, True L, Lara P, Kothari V, Xia Z, Chi KN, Reiter RE, Maher CA, Feng FY, Small EJ, Alumkal JJ; West Coast Prostate Cancer Dream Team. Genomic Drivers of Poor Prognosis and Enzalutamide Resistance in Metastatic Castration-resistant Prostate Cancer. Eur Urol 2019;76:562-71. [PMID: 30928160 DOI: 10.1016/j.eururo.2019.03.020] [Cited by in Crossref: 70] [Cited by in F6Publishing: 73] [Article Influence: 17.5] [Reference Citation Analysis]
16 Treviño V, Tamez-Pena J. VALORATE: fast and accurate log-rank test in balanced and unbalanced comparisons of survival curves and cancer genomics. Bioinformatics 2017;33:1900-1. [PMID: 28186225 DOI: 10.1093/bioinformatics/btx080] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 1.4] [Reference Citation Analysis]
17 Vandin F. Computational Methods for Characterizing Cancer Mutational Heterogeneity. Front Genet 2017;8:83. [PMID: 28659971 DOI: 10.3389/fgene.2017.00083] [Cited by in Crossref: 19] [Cited by in F6Publishing: 20] [Article Influence: 3.2] [Reference Citation Analysis]
18 Treviño V, Martínez-Ledesma E, Tamez-Peña J. Identification of outcome-related driver mutations in cancer using conditional co-occurrence distributions. Sci Rep 2017;7:43350. [PMID: 28240231 DOI: 10.1038/srep43350] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 0.8] [Reference Citation Analysis]
19 Zhao B, Pritchard JR. Inherited Disease Genetics Improves the Identification of Cancer-Associated Genes. PLoS Genet 2016;12:e1006081. [PMID: 27304678 DOI: 10.1371/journal.pgen.1006081] [Cited by in Crossref: 12] [Cited by in F6Publishing: 12] [Article Influence: 1.7] [Reference Citation Analysis]