about
LocSigDB: a database of protein localization signals.Application of a hierarchical enzyme classification method reveals the role of gut microbiome in human metabolism.Whole genomic sequence analysis of Bacillus infantis: defining the genetic blueprint of strain NRRL B-14911, an emerging cardiopathogenic microbe.Identification of potential tissue-specific cancer biomarkers and development of cancer versus normal genomic classifiers.CancerDiscover: an integrative pipeline for cancer biomarker and cancer class prediction from high-throughput sequencing data.A Mechanistic Computational Model Reveals That Plasticity of CD4 T Cell Differentiation Is a Function of Cytokine Composition and DosageA minimal set of physiomarkers in continuous high frequency data streams predict adult sepsis onset earlierDifferential gene expression analysis reveals novel genes and pathways in pediatric septic shock patientsUsing Machine Learning to Predict Early Onset Acute Organ Failure in Critically Ill Intensive Care Unit Patients With Sickle Cell Disease: Retrospective Study
P50
Q35129178-EF9C3F51-3776-4496-BEF9-A7E91907F24DQ35671178-D149BD50-16CF-4224-B117-C142D5CF7400Q36111616-11BD13E8-08CA-47A5-95AC-328DF2028019Q45943755-460AE06F-7155-4FEB-AFB8-06225EE1AD18Q49439371-4AB7CA5E-9E59-4873-8A13-100D0E56C838Q58803375-4DBDD4F6-7AF5-49DB-8703-89F02FDAC64AQ62491838-0E1276CA-A85C-4555-9031-6D7159B59F34Q92377506-5705B1CD-F034-4023-85BC-333C846292B1Q94654111-F455D4B3-5C98-4896-BE09-5A41EAF34DE3
P50
description
investigador
@es
researcher
@en
wetenschapper
@nl
name
Akram Mohammed
@en
Akram Mohammed
@nl
type
label
Akram Mohammed
@en
Akram Mohammed
@nl
prefLabel
Akram Mohammed
@en
Akram Mohammed
@nl
P108
P108
P31
P496
0000-0001-8093-8637