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Several high-fidelity experimental datasets from the TNF workshop database are considered in the present work to demonstrate the effectiveness of the proposed methodologies.
A total of 1525 unique high-frequency Urdu ligatures from the standard Urdu Printed Text Images (UPTI) database are considered in our study.
Only simulated patients corresponding to a syndrome with a known molecular basis, according to the OMIM database, are considered in the subsequent steps of the analysis.
DDIs "inferred from PDB entries" and "high confidence predictions" in the DOMINE database are considered in this study, while "medium confidence predictions" and "low confidence predictions" are discarded.
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The self-healing aspect of a self-managing database was considered in the reference [55].
The last complete entry in the database was considered in the analysis.
Probe set definitions mapped to UniGene database, EntrezGene database and ensEMBL gene database were considered in this work.
When only TCRβ V gene segments that are annotated as functional on the IMGT database were considered in this analysis, the majority of rearranged TCRβ V gene segments were found in productive rearrangements ~90%% of the time (Fig. 2b).
The five largest databases are considered in this contribution, with HPRD containing 63.3% of the known PPIs, BioGRID 40.9%, IntAct 34.9%, MINT 22.5%, and BIND 9.7% according to data in 2008 (see the 'statistics' section on http://bioinfow.dep.usal.es/apid/, [41]).
Transcription factors (TF) were taken from two sources TRANSFAC Professional Gene Transcription Factor Database [ 47] and YEASTRACT [ 48] and TFs that are common in both databases were considered in further analyses.
Nulls, however, operate under the open world assumption, in which some items stored in the database are considered unknown, making the database's stored knowledge of the world incomplete.
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