atcc baa 1742 Search Results


baa 1742 t  (ATCC)
95
ATCC baa 1742 t
Baa 1742 T, supplied by ATCC, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/baa 1742 t/product/ATCC
Average 95 stars, based on 1 article reviews
baa 1742 t - by Bioz Stars, 2026-03
95/100 stars
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corynebacterium  (ATCC)
96
ATCC corynebacterium
Identifying the phenotype factors of cervical cancer recurrence pre- and post-CCRT. ( a ) The schematic diagram introduces the basic information for constructing the random forest model. ( b ) The line chart shows the model with the highest accuracy based on ten-fold cross-validation. ( c ) The bar chart shows the importance value of various factors in the model. ( d ) The top five important factors were assessed using the receiver operating characteristic (ROC) curve. The area under the curve (AUC) was calculated to evaluate the performance of these factors. Biomarker 1: Ndongobacter massiliensis (Phylum: Firmicutes ); Biomarker 2: <t>Corynebacterium</t> pyruviciproducens ATCC BAA-1742 (Phylum: Actinobacteria ); Biomarker 3: Prevotella buccalis (Phylum: Bacteroidetes )
Corynebacterium, supplied by ATCC, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/corynebacterium/product/ATCC
Average 96 stars, based on 1 article reviews
corynebacterium - by Bioz Stars, 2026-03
96/100 stars
  Buy from Supplier

Image Search Results


Identifying the phenotype factors of cervical cancer recurrence pre- and post-CCRT. ( a ) The schematic diagram introduces the basic information for constructing the random forest model. ( b ) The line chart shows the model with the highest accuracy based on ten-fold cross-validation. ( c ) The bar chart shows the importance value of various factors in the model. ( d ) The top five important factors were assessed using the receiver operating characteristic (ROC) curve. The area under the curve (AUC) was calculated to evaluate the performance of these factors. Biomarker 1: Ndongobacter massiliensis (Phylum: Firmicutes ); Biomarker 2: Corynebacterium pyruviciproducens ATCC BAA-1742 (Phylum: Actinobacteria ); Biomarker 3: Prevotella buccalis (Phylum: Bacteroidetes )

Journal: Journal of Translational Medicine

Article Title: Vaginal microbial profile of cervical cancer patients receiving chemoradiotherapy: the potential involvement of Lactobacillus iners in recurrence

doi: 10.1186/s12967-024-05332-2

Figure Lengend Snippet: Identifying the phenotype factors of cervical cancer recurrence pre- and post-CCRT. ( a ) The schematic diagram introduces the basic information for constructing the random forest model. ( b ) The line chart shows the model with the highest accuracy based on ten-fold cross-validation. ( c ) The bar chart shows the importance value of various factors in the model. ( d ) The top five important factors were assessed using the receiver operating characteristic (ROC) curve. The area under the curve (AUC) was calculated to evaluate the performance of these factors. Biomarker 1: Ndongobacter massiliensis (Phylum: Firmicutes ); Biomarker 2: Corynebacterium pyruviciproducens ATCC BAA-1742 (Phylum: Actinobacteria ); Biomarker 3: Prevotella buccalis (Phylum: Bacteroidetes )

Article Snippet: Biomarker 1: Ndongobacter massiliensis (Phylum: Firmicutes ); Biomarker 2: Corynebacterium pyruviciproducens ATCC BAA-1742 (Phylum: Actinobacteria ); Biomarker 3: Prevotella buccalis (Phylum: Bacteroidetes )

Techniques: Biomarker Discovery