Results 61 to 70 of about 726,554 (241)
Molecular Oncology, EarlyView.RNA profiling of circulating extracellular vesicles (EVs) from blood samples of men undergoing prostate biopsy identifies transcripts associated with clinically significant prostate cancer. Integrative analysis with public tumor datasets links EV‐derived gene signatures to tumor stage and progression‐free survival, highlighting CASP3, XRCC2, and RIT1 ...
Stefan Werner +14 more
wiley +1 more source
True positives, true negatives, false positives and false negatives.
True positives, true negatives, false positives and false negatives.
Nick Preston (10661297) +7 more
core +1 more source
Correction of previous false negatives and false positives by current SVM model.
, 2018 Correction of previous false negatives and false positives by current SVM model.
Xiaofan Ding (775396) +2 more
core +1 more source
Impact of CrowdGO annotation re-evaluations on calling true and false positives and negatives.
, 2022 Sankey plots show the numbers of true or false positive or negative gene-term annotations before (left) and after (right) re-evaluation by CrowdGO (using the CrowdGOFull model) for the three gene ontologies, (A) Molecular Function, (B) Biological Process,
Maarten J. M. F. Reijnders (12542840) +1 more
core +1 more source
Molecular Oncology, EarlyView.This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source
, 2019 Forest plot displaying the accuracy of the RDTs by study Abbreviations: TP = true positives; FP = false positives; FN = false negatives; TN = true negatives.
Julio Alonso-Padilla (669773) +9 more
core +1 more source
Distance sensitive bloom filters without false negatives [PDF]
, 2017 A Bloom filter is a widely used data-structure for representing a set S and answering queries of the form "Is x in S?". By allowing some false positive answers (saying "yes" when the answer is in fact `no') Bloom filters use space significantly below ...
Johan Sivertsen +11 more
core +1 more source
Mitigating False Negatives in Contrastive Learning via Progressive Hyperparameter Adjustment
IEEE AccessThis study introduces a technique for gradually increasing the cosine similarity threshold and temperature of contrastive learning models to enhance their performance.
Joonsun Auh, Changsik Cho, Seon-Tae Kim
doaj +1 more source
Constrained Approximate Search Algorithms in Knowledge Discovery
Современные информационные технологии и IT-образование, 2020 Knowledge discovery in big data is one of the most important applications of computing machinery today. Search is essential part of all such procedures.
Slobodan Petrović, Julia Sidorova
doaj +1 more source
Molecular Oncology, EarlyView.Pair‐wise comparison of the CellSearch and FETCH enrichment technologies for circulating tumor cells (CTCs) from metastatic breast, prostate, and small cell lung cancer patients shows an increased capture of CTCs using FETCH enrichment. The clinical implementation of circulating tumor cells (CTCs) as a predictive tool for therapy efficacy in the ...
Michiel Stevens +6 more
wiley +1 more source