ascopubs.org

Training, Validation, and Test of Deep Learning Models for Classification of Receptor Expressions in Breast Cancers From Mammograms

Long-Term Outcomes in a Multicenter, Prospective Cohort Evaluating the Prognostic 31-Gene Expression Profile for Cutaneous Melanoma A developing data set and a test data set were generated from ...
ascopubs.org

Validation of tumoral matrix-metalloproteinase-9 (MMP-9) mRNA expression as a molecular prognostic factor for metastatic gastroesophageal cancer.

Randomized phase II trial of S-1 plus irinotecan versus S-1 plus paclitaxel as first-line treatment for advanced gastric cancer (OGSG0402): Final report. Intergroup Trial of Adjuvant Chemotherapy in ...
AZoLifeSciences on MSN

Deep learning–based codon optimization framework boosts protein expression in E coli

By combining Transformer-based sequence modeling with a novel conditional probability strategy, the approach overcomes long-standing trade-offs between maximizing expression metrics and maintaining ...