FAST AND EFFECTIVE BIOMEDICAL NAMED ENTITY RECOGNITION USING TEMPORAL CONVOLUTIONAL NETWORK WITH CONDITIONAL RANDOM FIELD

Fast and effective biomedical named entity recognition using temporal convolutional network with conditional random field

Biomedical named entity recognition (Bio-NER) is the prerequisite for mining knowledge from biomedical texts.The state-of-the-art models for Bio-NER are mostly based on bidirectional long short-term memory (BiLSTM) and bidirectional encoder representations from transformers (BERT) models.However, both BiLSTM and BERT models are extremely computatio

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Precision oncology for RET-related tumors

Aberrant activation of the RET proto-oncogene is implicated in a plethora of cancers.RET gain-of-function point mutations are driver events in multiple endocrine neoplasia 2 (MEN2) syndrome and in sporadic medullary thyroid cancer, while RET rearrangements are driver events in several non-medullary thyroid Chocolate cancers.Drugs able to inhibit RE

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Universal mouse reference RNA derived from neonatal mice

A reproducible, transcriptionally diverse common reference RNA is required for accurate comparisons of data generated from most spotted microarray experiments in different experiments.Several methods have been proposed to make such a reference RNA, such as pooling RNAs isolated from multiple cell lines or tissues, amplifying pooled Loveseat Section

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