{"id":"W2156935100","doi":"10.1002/bit.25294","title":"A simple method for eliminating fixed‐region interference of aptamer binding during SELEX","year":2014,"lang":"en","type":"article","venue":"Biotechnology and Bioengineering","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Aptamer; Systematic evolution of ligands by exponential enrichment; Oligonucleotide; Computational biology; SELEX Aptamer Technique; Chemistry; Computer science; Biology; Molecular biology; Biochemistry; DNA; Gene; RNA","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001077037,0.001039292,0.0009388658,0.0004550913,0.0003848825,0.0007948073,0.0007423363,0.0006106479,0.001745338],"category_scores_gemma":[0.001603633,0.0004537366,0.0004683245,0.0003773394,0.0005711967,0.0004316576,0.0006917492,0.001883241,0.001281178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002980801,"about_ca_system_score_gemma":0.0004741916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002117575,"about_ca_topic_score_gemma":0.0006537249,"domain_scores_codex":[0.9988976,0.0002138214,0.0001062652,0.0002257276,0.0004673006,0.00008938248],"domain_scores_gemma":[0.9991038,0.0003685493,0.0001614198,0.0001996502,0.0001138021,0.00005276276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003315258,0.00004706471,0.000147361,0.0001000523,0.00001576936,0.00003288731,0.00003911354,0.0002932987,0.9914312,0.0002326343,0.0001122989,0.007515104],"study_design_scores_gemma":[0.000007061043,0.000109762,0.0003742093,0.000005440306,0.0000109236,0.0001109834,0.0000100309,0.001441998,0.995323,0.00006821854,0.002525713,0.00001259615],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2967792,0.001184971,0.6942474,0.0003090064,0.0001937946,0.001130039,0.0006838116,0.002449905,0.00302178],"genre_scores_gemma":[0.4941987,0.001942492,0.4912295,0.0004494791,0.00005044439,0.001647766,0.001118072,0.0005372178,0.008826332],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001745338,"threshold_uncertainty_score":0.005838752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00842010722664773,"score_gpt":0.2624089758164521,"score_spread":0.2539888685898044,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}