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cell, lines, protein, cancer, data, doi, expression, figure, drug, line, proteins, mrna, google, scholar, mclp, pubmed, pmc, sensitivity, rppa, markers, article, analysis, correlation, free, levels, pairs, correlations, showed, number, mutated, lineages, breast, samples, based, egfr, patient, clusters, tcga, fdr, pathway, lineage, cluster, nature, pathways, total, platform, drugs, response, groups, major,

Topics {✒️}

c-src/abl kinase inhibitor reverse-phase protein arrays p85alpha monomer-homodimer equilibrium pmc beta search pan-cancer proteomic perspective swi/snf complex signaling figures nihms873196-supplement-supplementary_tables_and_figures large-scale proteomic data epithelial–mesenchymal transition protein-centered web platform user-friendly web platform protein–protein network shows md anderson core similar mutation–protein patterns user-friendly bioinformatic resource replicate-based normalization method construct multiple-marker classifiers pre-calculated analytic results egfr-activated tumor models evaluate protein-based biomarkers rppa core facility sample-wise pearson correlations key cancer-related total rppa-based pathway scores protein lysate arrays src/abl inhibitor protein–protein network view org/databases/cross-contaminations/ protein-based classifiers showed protein-protein interaction networks supplemental experimental procedures high-throughput technologies mrna–protein pair showed cell line resources major public resources moghaddas gholami optimal growth medium phenocopy primary tumours primary leukemia specimens rppa-based protein markers wild-type groups based �lung/gyne” cluster consisted performed mutation–protein analysis cell viability curve cancer genome atlas sponsored research support supplementary materials included egfr-mutant lung tumors cosmic cell lines cell line cohorts

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• Earnings of https://scholar.google.com/scholar_lookup?journal=Cell&title=Integrated%20proteogenomic%20characterization%20of%20human%20high-grade%20serous%20ovarian%20cancer&author=H%20Zhang&author=T%20Liu&author=Z%20Zhang&author=SH%20Payne&author=B%20Zhang&publication_year=2016&pmid=27372738&doi=10.1016/j.cell.2016.05.069&
• How much does https://github.com/ncbi pull in monthly?
• See how much https://www.google.com/maps/place/8600+Rockville+Pike,+Bethesda,+MD+20894/%4038.9959508, -77.101021,17z/data%3D!3m1!4b1!4m5!3m4!1s0x89b7c95e25765ddb%3A0x19156f88b27635b8!8m2!3d38.9959508! 4d-77.0988323 makes per month
• What's the financial gain of https://www.nlm.nih.gov/web_policies.html?
• How much does https://www.nih.gov/institutes-nih/nih-office-director/office-communications-public-liaison/freedom-information-act-office rake in every month?
• How much revenue does https://www.hhs.gov/vulnerability-disclosure-policy/index.html bring in?
• How much does https://support.nlm.nih.gov/?pagename=cloudpmc-viewer%3Apmc%3Aarticle%3Amanuscript pull in monthly?
• Profit of https://www.nlm.nih.gov/accessibility.html
• What's the profit of https://www.nlm.nih.gov/careers/careers.html?
• How much money does https://www.nlm.nih.gov/ generate?
• How profitable is https://www.nih.gov/?
• Profit of https://www.hhs.gov/
• How much does https://www.usa.gov/ bring in each month?

Analytics and Tracking {📊}

• Google Analytics
• Google Analytics 4
• Google Tag Manager

Libraries {📚}

• jQuery
• jQuery module (jquery-3.6.0)
• Zoom.js

Emails and Hosting {✉️}

Mail Servers:

• nihcesxway.hub.nih.gov
• nihcesxway2.hub.nih.gov
• nihcesxway3.hub.nih.gov
• nihcesxway4.hub.nih.gov
• nihcesxway5.hub.nih.gov

Name Servers:

• dns1-ncbi.ncbi.nlm.nih.gov
• dns2-ncbi.ncbi.nlm.nih.gov
• lhcns1.nlm.nih.gov
• lhcns2.nlm.nih.gov

CDN Services {📦}

• Ncbi