
Samantha O'Connor
Articles
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Nov 4, 2024 |
cureus.com | Manu Mathew |Samantha O'Connor |Tisha M. Titus
SpecialtyPlease chooseI'm not a medical professional. Allergy and ImmunologyAnatomyAnesthesiologyBiostatisticsCardiac/Thoracic/Vascular SurgeryCardiologyCritical CareDentistryDermatologyDiabetes and EndocrinologyEmergency MedicineEpidemiology and Public HealthFamily MedicineForensic MedicineGastroenterologyGeneral PracticeGeneticsGeriatricsHealth PolicyHematologyHIV/AIDSHospital-based MedicineI'm not a medical professional.
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Sep 25, 2024 |
msn.com | Samantha O'Connor |Ryan Trowbridge
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Sep 22, 2024 |
biorxiv.org | Samantha O'Connor |Leonor Garcia |Anoop P. Patel |Benjamin B. Bartelle
AbstractSingle-cell transcriptomics has unveiled a vast landscape of cellular heterogeneity in which the cell cycle is a significant component. We trained a high-resolution cell cycle classifier (ccAFv2) using single cell RNA-seq (scRNA-seq) characterized human neural stem cells. The ccAFv2 classifies six cell cycle states (G1, Late G1, S, S/G2, G2/M, and M/Early G1) and a quiescent-like G0 state (qG0), and it incorporates a tunable parameter to filter out less certain classifications.
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Aug 23, 2024 |
thewritern.com | Samantha O'Connor
Knowing how to research is a crucial skill for a health or medical writer. Here's how to conduct quality research and find reliable sources for health and medical writing. In this article:Whether you're a seasoned medical writer or just getting started in the industry, knowing how to find quality sources online is essential. It's one that you, as a health or medical writer, cannot go without.
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Apr 20, 2024 |
biorxiv.org | Samantha O'Connor |Leonor Garcia |Anoop P. Patel |Jean-Philippe Hugnot
AbstractSingle-cell transcriptomics has unveiled a vast landscape of cellular heterogeneity in which the cell cycle is a significant component. We trained a high-resolution cell cycle classifier (ccAFv2) using single cell RNA-seq (scRNA-seq) characterized human neural stem cells. The ccAFv2 classifies six cell cycle states (G1, Late G1, S, S/G2, G2/M, and M/Early G1) and a quiescent-like G0 state, and it incorporates a tunable parameter to filter out less certain classifications.
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