Results 81 to 90 of about 1,035,013 (320)
Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation
, 2017 Image segmentation is a fundamental problem in biomedical image analysis. Recent advances in deep learning have achieved promising results on many biomedical image segmentation benchmarks.
B Efron +5 more
core +1 more source
Improving the Caenorhabditis elegans Genome Annotation Using Machine Learning [PDF]
, 2007 For modern biology, precise genome annotations are of prime importance, as they allow the accurate definition of genic regions. We employ state-of-the-art machine learning methods to assay and improve the accuracy of the genome annotation of the nematode
Bernhard Schölkopf +8 more
core +5 more sources
Identification of novel small molecule inhibitors of ETS transcription factors
FEBS Letters, EarlyView.ETS transcription factors play an essential role in tumourigenesis and are indispensable for sprouting angiogenesis, a hallmark of cancer, which fuels tumour expansion and dissemination. Thus, targeting ETS transcription factor function could represent an effective, multifaceted strategy to block tumour growth. The evolutionarily conserved E‐Twenty‐Six
Shaima Abdalla +9 more
wiley +1 more source
The Impact of Annotation on the Performance of Protein Tagging in Biomedical Text [PDF]
, 2006 In this paper we discuss five different corpora annotated for protein names. We present several within- and cross-dataset protein tagging experiments showing that different annotation schemes severely affect the portability of statistical protein taggers.
Alex, Beatrice +2 more
core +1 more source
The Saccharomyces cerevisiae amino acid transporter Lyp1 has a broad substrate spectrum
FEBS Letters, EarlyView.In Saccharomyces cerevisiae, Yeast Amino acid Transporter family members mediate the import of amino acids, ranging from substrate specialists to generalists. Here, we show that the specialist transporter, Lyp1, has a broader substrate spectrum than previously described, with affinity constants spanning from micromolar to millimolar.
Foteini Karapanagioti +3 more
wiley +1 more source
Pre-trained Language Models as Re-Annotators [PDF]
arXiv, 2022 Annotation noise is widespread in datasets, but manually revising a flawed corpus is time-consuming and error-prone. Hence, given the prior knowledge in Pre-trained Language Models and the expected uniformity across all annotations, we attempt to reduce annotation noise in the corpus through two tasks automatically: (1) Annotation Inconsistency ...
arxiv
Guidelines for annotating the LUNA corpus with frame information [PDF]
, 2010 This document defines the annotation workflow aimed at adding frame information to the LUNA corpus of conversational speech. In particular, it details both the corpus pre-processing steps and the proper annotation process, giving hints about how to ...
Riccardi, Giuseppe, Tonelli, Sara
core
Context-aware person identification in personal photo collections [PDF]
, 2009 Identifying the people in photos is an important need for users of photo management systems. We present MediAssist, one such system which facilitates browsing, searching and semi-automatic annotation of personal photos, using analysis of both image ...
O'Hare, Neil, Smeaton, Alan F.
core +1 more source
FEBS Letters, EarlyView.In lymphoid organs, antigen recognition and B cell receptor signaling rely on integrins and the cytoskeleton. Integrins act as mechanoreceptors, couple B cell receptor activation to cytoskeletal remodeling, and support immune synapse formation as well as antigen extraction.
Abhishek Pethe, Tanja Nicole Hartmann
wiley +1 more source