Publications

Initial sequencing and comparative analysis of the mouse genome

From local explanations to global understanding with explainable AI for trees

Macromolecular structure determination using X-rays, neutrons and electrons: recent developments in <i>Phenix</i>

Diffraction (X-ray, neutron and electron) and electron cryo-microscopy are powerful methods to determine three-dimensional macromolecular structures, which are required to under...

Global, regional, and national sepsis incidence and mortality, 1990–2017: analysis for the Global Burden of Disease Study

Guidelines for the Early Management of Patients With Acute Ischemic Stroke: 2019 Update to the 2018 Guidelines for the Early Management of Acute Ischemic Stroke: A Guideline for Healthcare Professionals From the American Heart Association/American Stroke Association

Background and Purpose— The purpose of these guidelines is to provide an up-to-date comprehensive set of recommendations in a single document for clinicians caring for adult pat...

Pembrolizumab plus Chemotherapy in Metastatic Non–Small-Cell Lung Cancer

In patients with previously untreated metastatic nonsquamous NSCLC without EGFR or ALK mutations, the addition of pembrolizumab to standard chemotherapy of pemetrexed and a plat...

Graph drawing by force‐directed placement

Abstract We present a modification of the spring‐embedder model of Eades [Congressus Numerantium, 42, 149–160, (1984)] for drawing undirected graphs with straight edges. Our heu...

Dynamic Graph CNN for Learning on Point Clouds

Point clouds provide a flexible geometric representation suitable for countless applications in computer graphics; they also comprise the raw output of most 3D data acquisition ...

ISOLATION BY DISTANCE

important S line of attack on the evolutionary problem.While such differences can only rarely represent first steps toward speciation in the sense of the splitting of the specie...

Assembly of long, error-prone reads using repeat graphs

Active appearance models

We describe a new method of matching statistical models of appearance to images. A set of model parameters control modes of shape and gray-level variation learned from a trainin...

Using Embeddings to Improve Named Entity Recognition Classification with Graphs

Richer information has potential to improve performance of NLP (Natural Language Processing) tasks such as Named Entity Recognition. A linear sequence of words can be enriched w...